{"id":"W7102412353","doi":"10.5281/zenodo.17470042","title":"Regulatory Insights into Anti-Obesity Drugs: From Development to NDS Submission (Health Canada)","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmacology and Obesity Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug development; Weight loss; Class (philosophy); Compliance (psychology); Drug approval; Regulatory science","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":[0.02053314,0.001022353,0.0008868391,0.002676953,0.007844023,0.01398741,0.003500199,0.009052427,0.04587932],"category_scores_gemma":[0.03672265,0.001297301,0.001400416,0.002199284,0.004363053,0.003007221,0.003374235,0.006801873,0.01478297],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05923177,"about_ca_system_score_gemma":0.2536123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7355247,"about_ca_topic_score_gemma":0.757573,"domain_scores_codex":[0.9571335,0.003051143,0.001925015,0.002115538,0.03174344,0.004031452],"domain_scores_gemma":[0.9216125,0.003839268,0.002894586,0.002036176,0.06117425,0.008443269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004493537,0.0002122908,0.002682516,0.0009062524,0.00003478028,0.0006616066,0.0005393041,0.0006008912,0.008749521,0.05318408,0.7425358,0.1894435],"study_design_scores_gemma":[0.0000755607,0.0001798125,0.00375614,0.0004395189,0.00002427682,0.0002574244,0.0002883385,0.0005392059,0.003970124,0.001858817,0.9885359,0.00007488421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01529397,0.03284079,0.01786064,0.2594556,0.02101587,0.003597108,0.008941492,0.003452243,0.6375423],"genre_scores_gemma":[0.1199043,0.02346273,0.02568576,0.08889031,0.002692497,0.0008341495,0.005284906,0.001406757,0.7318386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9407682,"threshold_uncertainty_score":0.5320657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818111622551903,"score_gpt":0.2716001250586755,"score_spread":0.2534190088331565,"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."}}