{"id":"W7114804360","doi":"10.5281/zenodo.17877643","title":"SIMILARITIES AND DIFFERENCE BETWEEN US DMF, CANADIAN DMF AND EDMF","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discretion; Drug; Work (physics); Access to information; Drug industry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002433876,0.0002431756,0.0002831338,0.004970773,0.002452956,0.003455989,0.001014731,0.0007856771,0.01301606],"category_scores_gemma":[0.01125475,0.0001916961,0.0005127774,0.005215806,0.00176363,0.001264311,0.00104539,0.00103686,0.001053154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02227385,"about_ca_system_score_gemma":0.02655311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7750235,"about_ca_topic_score_gemma":0.8496408,"domain_scores_codex":[0.9944793,0.0002900215,0.0002969054,0.0004272161,0.003512718,0.0009939315],"domain_scores_gemma":[0.9944881,0.0006658894,0.000567459,0.0001991866,0.003564448,0.0005150081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007236786,0.0001741204,0.1551786,0.002088291,0.000103276,0.002581193,0.01460402,0.0006535641,0.004884815,0.123439,0.1565382,0.5390311],"study_design_scores_gemma":[0.00002586741,0.00009079801,0.3097817,0.0009970341,0.0000741749,0.003257392,0.01736202,0.0004205727,0.002016757,0.003160355,0.6626967,0.0001166027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3978252,0.04790317,0.00507918,0.0345674,0.001826062,0.0003604212,0.01249009,0.0005545436,0.499394],"genre_scores_gemma":[0.9105592,0.01934821,0.005158715,0.007121771,0.0002755541,0.00009902508,0.004548176,0.0002681148,0.05262115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2249765,"threshold_uncertainty_score":0.4526028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06803953113850605,"score_gpt":0.3153323734371267,"score_spread":0.2472928422986207,"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."}}