{"id":"W7007864846","doi":"","title":"Archibald Kaiser: Harm Prevention","year":2020,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decriminalization; Harm reduction; Criminal law; Harm; Criminal justice; Legalization; Government (linguistics); Human rights; Cannabis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002278521,0.0005464876,0.0004292251,0.001004755,0.009660508,0.005391166,0.00217027,0.006430921,0.3719183],"category_scores_gemma":[0.006194146,0.0005507077,0.0005823902,0.0007458715,0.001723506,0.002462417,0.005088404,0.00640333,0.06562729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01213789,"about_ca_system_score_gemma":0.03466685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.196765,"about_ca_topic_score_gemma":0.3206366,"domain_scores_codex":[0.9973125,0.0003922016,0.000105619,0.0003167953,0.001070738,0.0008022503],"domain_scores_gemma":[0.9957652,0.0005296377,0.0001015101,0.0002981149,0.001060168,0.002245427],"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":[0.00002131169,0.00004946373,0.0003468385,0.0000673242,0.000002966932,0.0001817727,0.0003335731,0.00002858147,0.00005728325,0.01735153,0.9328545,0.04870485],"study_design_scores_gemma":[0.000008047505,0.00000624908,0.000444009,0.00007331633,0.000001395827,0.00007565114,0.0002624927,0.00002676494,0.00004306194,0.001472061,0.9975805,0.000006337279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001573624,0.00714147,0.001361911,0.1238558,0.004299748,0.0002878945,0.002480893,0.001970934,0.8570277],"genre_scores_gemma":[0.009614157,0.002707574,0.001193593,0.02767158,0.0004331909,0.0001734747,0.0008303223,0.0004333199,0.9569429],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3719183,"threshold_uncertainty_score":0.8958823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785179720781092,"score_gpt":0.3031751358639736,"score_spread":0.2753233386561627,"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."}}