{"id":"W4400765311","doi":"10.1097/aog.0000000000005646","title":"Science Lagging Behind Rapid Cannabis Legalization and Commercialization","year":2024,"lang":"en","type":"article","venue":"Obstetrics and Gynecology","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Commercialization; Lagging; Cannabis; Business; Political science; Psychology; Medicine; Psychiatry; Marketing; Law","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":[0.01129071,0.0004152714,0.000681843,0.002310855,0.002559709,0.009599633,0.002004756,0.008028987,0.02527279],"category_scores_gemma":[0.05632237,0.0004972362,0.0005877923,0.001393257,0.005788024,0.01231564,0.004274101,0.01457146,0.005970797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005116809,"about_ca_system_score_gemma":0.01187687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006655517,"about_ca_topic_score_gemma":0.01151557,"domain_scores_codex":[0.9933955,0.001388184,0.0004272057,0.001251156,0.002671376,0.0008666469],"domain_scores_gemma":[0.945966,0.02803497,0.004476735,0.002338577,0.01188228,0.007301392],"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":[0.0002255704,0.0001570591,0.006483307,0.001007535,0.00005890217,0.00027934,0.0005912535,0.0001032196,0.000438596,0.07498033,0.6853833,0.2302915],"study_design_scores_gemma":[0.00005619593,0.0001356478,0.006056148,0.002297745,0.00003736654,0.0003944734,0.001283757,0.0002716386,0.0007333704,0.05806806,0.93061,0.00005559665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003040707,0.09483381,0.0006532131,0.8723798,0.01335727,0.00002468303,0.0005226823,0.0001224085,0.01506544],"genre_scores_gemma":[0.1159027,0.2792329,0.001944381,0.5338914,0.0460812,0.0001252342,0.001092377,0.0003566511,0.02137312],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9933445,"threshold_uncertainty_score":0.08454591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650176284611452,"score_gpt":0.3059498260550247,"score_spread":0.2894480632089102,"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."}}