{"id":"W7055150246","doi":"","title":"Canada's Cannabis Act : Annotation & Commentary","year":2022,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Interpretation (philosophy); Annotation; Cannabis; Legislative history","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007535642,0.0001031034,0.00009032383,0.00002409181,0.0002909831,0.00002872431,0.000187192,0.0000181461,0.00109269],"category_scores_gemma":[0.000004460439,0.0001213361,0.00002827119,0.0001871058,0.00001273258,0.00008317722,0.0000456968,0.0002282094,0.00005031909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004376445,"about_ca_system_score_gemma":0.0001122398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6066789,"about_ca_topic_score_gemma":0.7421696,"domain_scores_codex":[0.9992841,0.00003203283,0.0001428341,0.0001329256,0.0002043942,0.0002037238],"domain_scores_gemma":[0.9995509,0.000020082,0.00001988257,0.0002648972,0.00001684033,0.0001274305],"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":[0.000002876104,0.00001541281,0.0003475852,0.00001051837,0.00002047057,0.000004325153,0.00004791139,0.01418533,0.001547851,0.0016001,0.9816172,0.0006003805],"study_design_scores_gemma":[0.0001681003,0.000007558619,0.001162161,0.0000026372,0.000009277648,0.000004415664,0.00005010188,0.001097749,0.0007912686,0.0001994446,0.9963564,0.000150839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.843704,0.001990665,0.003496442,0.07735121,0.003034785,0.001997682,0.003654416,0.002034834,0.06273592],"genre_scores_gemma":[0.9884518,0.00001108946,0.0004797565,0.006735142,0.0001259927,0.0003010901,0.0004549403,0.00003468302,0.003405457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1447478,"threshold_uncertainty_score":0.9998205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026953121570321,"score_gpt":0.2141863030378323,"score_spread":0.2039167718221291,"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."}}