{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"a6f93db549b8","filters":{"venue":"Social science and management."}},"results":[{"id":"W4402927602","doi":"10.61784/ssm3005","title":"THE ROLE OF GREEN SPACES IN ENHANCING RESIDENTS’ SUBJECTIVE WELL-BEING IN URBAN COMMUNITIES","year":2024,"lang":"en","type":"article","venue":"Social science and management.","topic":"Place Attachment and Urban Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental planning; Geography; Psychology; Sociology","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01063424206864983,"gpt":0.2947543541749536,"spread":0.2841201121063038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449247,0.0001387823,0.0001407487,0.0004781088,0.001084175,0.001307466,0.0002033492,0.0002598649,0.001008837],"category_scores_gemma":[0.002202886,0.0001084027,0.0001893173,0.0002794256,0.001728121,0.0006188747,0.001862544,0.000305681,0.00005268437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897017,"about_ca_system_score_gemma":0.0005056269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002639764,"about_ca_topic_score_gemma":0.009836271,"domain_scores_codex":[0.9991218,0.0006139812,0.00002383972,0.00004465758,0.00008197267,0.0001137446],"domain_scores_gemma":[0.9985642,0.0004591883,0.000319968,0.00006928622,0.0001673907,0.0004199766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003630868,0.0007708078,0.5978272,0.000628825,0.0003552097,0.0005562945,0.2322449,0.0007880311,0.007495329,0.007015736,0.0011305,0.150824],"study_design_scores_gemma":[0.000008827652,0.0005867846,0.8357517,0.0001393903,0.00008800498,0.0001914403,0.1524692,0.0004492078,0.0008910492,0.002551359,0.006835939,0.00003709965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967062,0.0001749147,0.0002886039,0.0001961123,0.000004429836,0.000006477848,0.00000802559,0.000001942633,0.002613222],"genre_scores_gemma":[0.999715,0.00005475259,0.0001217186,0.00001828714,0.000001553005,0.000002803483,0.000002036913,6.253472e-7,0.00008315843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002639764,"threshold_uncertainty_score":0.007664442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409949247","doi":"10.61784/ssm3050","title":"A PREDICTIVE MODEL FOR STOCK PRICES BASED ON TRANSFORMER AND UTILIZING MULTIMODAL DATA","year":2025,"lang":"en","type":"article","venue":"Social science and management.","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Transformer; Stock (firearms); Econometrics; Computer science; Economics; Engineering; Electrical engineering; Mechanical engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1941815827421153,"gpt":0.4631729553119153,"spread":0.2689913725698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007263923,0.0006451636,0.0004900201,0.0005929269,0.0002235937,0.0008425592,0.001134796,0.0004790919,0.001964676],"category_scores_gemma":[0.001999224,0.0003543607,0.0006706895,0.0006331942,0.0004091987,0.001526166,0.000732318,0.001116476,0.0005495853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006079001,"about_ca_system_score_gemma":0.0007415349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007516555,"about_ca_topic_score_gemma":0.008605978,"domain_scores_codex":[0.9997999,0.00004136349,0.000008975485,0.00007391293,0.00004797553,0.00002787119],"domain_scores_gemma":[0.9996929,0.0001535168,0.00003614875,0.0000309958,0.00007051548,0.00001590347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001774545,0.00008978371,0.002845832,0.00006332545,0.00009680734,0.0001065414,0.00009597661,0.7691542,0.0116308,0.01984797,0.001547019,0.1943443],"study_design_scores_gemma":[0.000001269963,0.000008573462,0.0001284389,0.000001424276,0.00000464366,0.000007641178,0.000002731601,0.997315,0.0005104501,0.001901838,0.0001148868,0.000003039471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01931266,0.00009579236,0.9785113,0.0001185072,0.00002307821,0.00003301677,0.0001364988,0.0005550382,0.001214224],"genre_scores_gemma":[0.8626438,0.0003143756,0.1326376,0.0001203264,0.00005426044,0.0001517861,0.0003787698,0.00007091543,0.003628017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007516555,"threshold_uncertainty_score":0.01494563,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}