{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"321cfadb3dc6","filters":{"venue":"Research Horizon"}},"results":[{"id":"W7127127050","doi":"10.54518/rh.5.6.2025.905","title":"Blue Economy and Corporate Value Creation: A Bibliometric Analysis of Global Research Trends","year":2025,"lang":"","type":"article","venue":"Research Horizon","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"China; Christian ministry; Scopus; Sustainable development; Resource (disambiguation); Government (linguistics); Natural resource; Public policy; Sustainability","authors":[{"name":"Fajar Dwi Kuncoro","is_ca":false},{"name":"Meilenia Rahma Salisa","is_ca":false},{"name":"Armizha Rahmatika","is_ca":false},{"name":"Nur Afiqoh Sari","is_ca":false},{"name":"Mochammad Charis Setiawan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08552035720353972,"gpt":0.398470868232807,"spread":0.3129505110292673,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008181217,0.0004967743,0.001091767,0.1660663,0.001235661,0.006330287,0.0005514557,0.0006196281,0.002049075],"category_scores_gemma":[0.03796019,0.0002273714,0.001031508,0.2583738,0.0009333174,0.004763234,0.002857837,0.0005374946,0.0004595866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002332273,"about_ca_system_score_gemma":0.004934037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00605221,"about_ca_topic_score_gemma":0.008080507,"domain_scores_codex":[0.9904784,0.001679639,0.001959166,0.0008127801,0.004600483,0.0004694767],"domain_scores_gemma":[0.9474958,0.03398267,0.008485653,0.001541922,0.00761714,0.0008768378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000215269,0.0001282267,0.4907534,0.0160171,0.00124798,0.0008443999,0.01212475,0.002451719,0.003216425,0.01938246,0.01959401,0.4340242],"study_design_scores_gemma":[0.0000338245,0.0001384765,0.8158616,0.005252654,0.0009684309,0.001282913,0.01687084,0.005957471,0.001939107,0.009640226,0.1419334,0.0001210708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7717486,0.09223067,0.006385698,0.005469837,0.0003855445,0.0005564691,0.05708232,0.0004324565,0.06570832],"genre_scores_gemma":[0.9033271,0.05335851,0.01291014,0.000231234,0.0004103773,0.0005840396,0.02680463,0.0001054281,0.00226852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8339337,"threshold_uncertainty_score":0.04326689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7083689022","doi":"10.54518/rh.5.2.2025.596","title":"Strengthening Indonesia's Cryptocurrency Regulation to Combat Money Laundering: A Comparative Analysis of Canada and South Korea's Approaches","year":2025,"lang":"en","type":"article","venue":"Research Horizon","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Money laundering; Cryptocurrency; Legislation; Asset (computer security); Digital currency; Anonymity; SAFER; Compliance (psychology)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1139894257850626,"gpt":0.3491662618098823,"spread":0.2351768360248196,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001559063,0.0002126384,0.0002112588,0.001643822,0.004840287,0.004231963,0.0004916,0.0003655583,0.002614272],"category_scores_gemma":[0.003179108,0.0001082412,0.000205763,0.003813255,0.002000083,0.001282162,0.001144851,0.00105032,0.0001544585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0291745,"about_ca_system_score_gemma":0.04237534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.831444,"about_ca_topic_score_gemma":0.9293946,"domain_scores_codex":[0.9986499,0.0001890542,0.00004746226,0.000100854,0.000498189,0.0005144431],"domain_scores_gemma":[0.9965141,0.0006997928,0.0005063008,0.00008658243,0.00153518,0.000658075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008117657,0.0003415616,0.4261225,0.001399005,0.0001782667,0.003804451,0.2115709,0.001250935,0.004996049,0.09549385,0.02442271,0.2296081],"study_design_scores_gemma":[0.00002406951,0.00009041121,0.4136826,0.000504303,0.0001377944,0.0003251563,0.4566794,0.001533498,0.00199656,0.0009741921,0.1239519,0.0001000715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940093,0.001186429,0.0003076921,0.002137288,0.00004054579,0.00007033353,0.0002013621,0.00001147432,0.05595184],"genre_scores_gemma":[0.9949366,0.0008986465,0.0001884115,0.0002693416,0.000003388025,0.00001072497,0.0001015144,0.000008255249,0.003583105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168556,"threshold_uncertainty_score":0.3390974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414618529","doi":"10.54518/rh.5.3.2025.666","title":"Determination of Home Purchase Decisions with Technology Adoption as a Moderating Variable","year":2025,"lang":"en","type":"article","venue":"Research Horizon","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Purchasing; Moderation; Quarter (Canadian coin); Structural equation modeling; Clothing; Social media; Variables; Variable (mathematics)","authors":[{"name":"Nurul Linda Wati","is_ca":false},{"name":"Bambang Widjanarko Otok","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1395683506487525,"gpt":0.4644131011446266,"spread":0.3248447504958741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001847871,0.0002871272,0.0003358888,0.000411865,0.0003811015,0.0009437954,0.0002411059,0.0004175727,0.004012092],"category_scores_gemma":[0.007057159,0.0002165368,0.0006469717,0.000548832,0.0004247431,0.0005543216,0.0007606438,0.0008641396,0.0003166741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309165,"about_ca_system_score_gemma":0.0007572529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006576384,"about_ca_topic_score_gemma":0.01057919,"domain_scores_codex":[0.9985362,0.0007964232,0.0001046606,0.0001747169,0.0001848718,0.0002031093],"domain_scores_gemma":[0.9916681,0.005854474,0.001318826,0.0003019524,0.0003476396,0.0005088908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001497441,0.0004078694,0.9919285,0.00002516039,0.0001036467,0.00008055365,0.0009071867,0.0002107036,0.0004576373,0.0002127664,0.00008238193,0.005433919],"study_design_scores_gemma":[0.000008387319,0.0003067496,0.9936372,0.00002312527,0.0001022943,0.000054645,0.001713566,0.003076926,0.0004688828,0.0002011586,0.0003985274,0.000008665139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988064,0.00003531765,0.0002426721,0.00004726168,0.000003469433,0.00002603709,0.00005678914,0.000001895735,0.000780304],"genre_scores_gemma":[0.9990301,0.00004111514,0.000386165,0.00001641119,0.000002880527,0.000032378,0.00007373582,0.000001251643,0.0004159668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006576384,"threshold_uncertainty_score":0.01342171,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}