{"meta":{"query_hash":"321cfadb3dc6","filters":{"venue":"Research Horizon"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/321cfadb3dc6","api":"https://metacan.xera.ac/api/v1/cohort?venue=Research+Horizon"},"results":[{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Moderation; Quarter (Canadian coin); Structural equation modeling; Clothing; Social media; Variables; Variable (mathematics)","score_opus":0.1395683506487525,"score_gpt":0.46441310114462664,"score_spread":0.32484475049587413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414618529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7855681,0.0001167372,0.20652628,0.0026377689,0.000089975416,0.0003797624,0.000008972116,0.00013374197,0.0045386553],"genre_scores_gemma":[0.95913553,0.000036706522,0.038022187,0.000019719126,0.000013169267,0.00009206621,0.0000038993817,0.00001025303,0.0026664613],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99656093,0.0002696204,0.000570389,0.00056075695,0.0016069537,0.00043133658],"domain_scores_gemma":[0.9952006,0.0011648603,0.00014820092,0.00094273064,0.002463766,0.000079894555],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0045115035,0.00012509598,0.00028370792,0.00336826,0.0004475969,0.00013669704,0.00092428754,0.0003386156,0.00015391692],"category_scores_gemma":[0.010151169,0.00009366722,0.000047388025,0.005871717,0.00044526544,0.00032126578,0.000379546,0.00067038875,0.00010774413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022389687,0.00029831784,0.011642884,0.000009015189,0.000013294604,0.00003149295,0.000096049625,0.000098679484,0.022089757,0.26098022,0.0008478678,0.70366853],"study_design_scores_gemma":[0.002210671,0.0033131219,0.0113336565,0.0004445535,0.000031620446,0.00007041947,0.0060211495,0.019210339,0.027649373,0.9171697,0.012180466,0.0003649528],"about_ca_topic_score_codex":0.000040868566,"about_ca_topic_score_gemma":0.00003511818,"teacher_disagreement_score":0.7033036,"about_ca_system_score_codex":0.00011047193,"about_ca_system_score_gemma":0.0005082268,"threshold_uncertainty_score":0.99818677},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Money laundering; Cryptocurrency; Legislation; Asset (computer security); Digital currency; Anonymity; SAFER; Compliance (psychology)","score_opus":0.11398942578506259,"score_gpt":0.34916626180988225,"score_spread":0.23517683602481965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083689022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8822672,0.00022499166,0.11505235,0.0003823772,0.00005322799,0.0002240008,0.000004361456,0.000019986568,0.0017715035],"genre_scores_gemma":[0.99609274,0.0000063465154,0.0036723344,0.000006392277,0.000014355018,0.000019405434,0.000014654656,0.0000026625087,0.00017110276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979219,0.0002530967,0.0003228267,0.00043696765,0.0007327298,0.0003325175],"domain_scores_gemma":[0.99879086,0.0003395908,0.00009116121,0.00041968795,0.00022328531,0.00013542322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000961131,0.000116364296,0.00037075905,0.001226738,0.00024112924,0.00016357607,0.00044920377,0.00004007939,0.000007837366],"category_scores_gemma":[0.00007625484,0.0001078828,0.000066595545,0.0045243655,0.000058346952,0.00015660157,0.00038095305,0.00016995371,6.703849e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018802719,0.00040732507,0.24676993,0.00023286566,0.005882088,0.000011472558,0.052044373,0.045601644,0.00475132,0.5005118,0.0053305277,0.13826858],"study_design_scores_gemma":[0.0004012718,0.00021699117,0.2012253,0.000107575135,0.00014995807,2.2521715e-7,0.005473172,0.78563374,0.0053178235,0.0008909551,0.00033364893,0.0002493623],"about_ca_topic_score_codex":0.016258262,"about_ca_topic_score_gemma":0.027786605,"teacher_disagreement_score":0.7400321,"about_ca_system_score_codex":0.00011097131,"about_ca_system_score_gemma":0.0003144328,"threshold_uncertainty_score":0.99029255},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Christian ministry; Scopus; Sustainable development; Resource (disambiguation); Government (linguistics); Natural resource; Public policy; Sustainability","score_opus":0.08552035720353972,"score_gpt":0.39847086823280703,"score_spread":0.3129505110292673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127127050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5194879,0.0013644452,0.00054878864,0.0029372487,0.00010223348,0.0006287496,0.00013179438,0.000018373985,0.4747804],"genre_scores_gemma":[0.9770055,0.0029593275,0.00010061968,0.000013678335,0.00004937857,0.000069338974,0.000026346539,0.000010340795,0.019765517],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99379015,0.00118166,0.0007200468,0.0012240331,0.0018145597,0.001269574],"domain_scores_gemma":[0.99734503,0.0006806106,0.00018470953,0.0009698908,0.00038296817,0.00043680597],"candidate_categories":["metaepi_narrow","bibliometrics","open_science","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.009516495,0.00027419886,0.00063768507,0.09761337,0.00068359106,0.0005210109,0.00090991036,0.00017104321,0.0032575715],"category_scores_gemma":[0.00043558842,0.00027141607,0.00023192246,0.54873806,0.0020662164,0.0004069976,0.011141165,0.00065215357,0.00013948178],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020762246,0.00045888333,0.09920997,0.00016629613,0.0010165059,0.000025991174,0.00006143579,0.00073797314,0.00021095623,0.05812114,0.00567175,0.83411145],"study_design_scores_gemma":[0.00083232607,0.0020831623,0.9033883,0.0000740484,0.00058994,0.0000010913045,0.00071487104,0.025423417,0.00048350415,0.028598674,0.037516516,0.000294111],"about_ca_topic_score_codex":0.0108811045,"about_ca_topic_score_gemma":0.002285182,"teacher_disagreement_score":0.83381736,"about_ca_system_score_codex":0.0013634749,"about_ca_system_score_gemma":0.00019999109,"threshold_uncertainty_score":0.9999738},"labels":[],"label_agreement":null}]}