{"id":"W4413392074","doi":"10.2196/63544","title":"Medical Science Data Value Evaluation Model: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weighting; Computer science; Data mining; Entropy (arrow of time); Data set; Data science; Information retrieval; Medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.11483,0.003476144,0.005188841,0.008010664,0.002371562,0.006812593,0.005522332,0.003369952,0.01566559],"category_scores_gemma":[0.1522691,0.00165588,0.01190398,0.007382121,0.002406868,0.005474763,0.003254942,0.003578384,0.001396718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005693803,"about_ca_system_score_gemma":0.005573304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005585246,"about_ca_topic_score_gemma":0.002537399,"domain_scores_codex":[0.8526809,0.1265974,0.004769704,0.006443478,0.007239789,0.00226884],"domain_scores_gemma":[0.7300454,0.2420112,0.01115947,0.005417171,0.00999773,0.001369068],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.012575,0.01158812,0.3706205,0.01863114,0.03141695,0.00203781,0.01466043,0.09927087,0.001677276,0.1156047,0.009279855,0.3126373],"study_design_scores_gemma":[0.001978078,0.01236065,0.04526371,0.004000443,0.008486381,0.000644065,0.01003114,0.8708563,0.002095403,0.03508386,0.008759638,0.0004403132],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4533243,0.005874865,0.4879341,0.001824395,0.0007727389,0.03606817,0.003199723,0.0005322477,0.01046955],"genre_scores_gemma":[0.6720063,0.001813586,0.261603,0.0006683411,0.0002555716,0.05839615,0.00120891,0.0000931539,0.003954957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.88517,"threshold_uncertainty_score":0.6072866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3897749305494763,"score_gpt":0.6237581904605167,"score_spread":0.2339832599110404,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}