{"id":"W7046194860","doi":"","title":"Criminal Law &amp; Digital Technologies: Drawing Lessons from the Canadian and American Experiences","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Criminal law; Criminal justice; Work (physics); Interrogation; Legislation","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":[0.005627991,0.0006938844,0.0005845053,0.003406348,0.08248533,0.03122404,0.003403041,0.0132785,0.01337062],"category_scores_gemma":[0.01198688,0.0006096189,0.0004931514,0.006342623,0.05474185,0.01341389,0.009875407,0.01719721,0.001056061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1259933,"about_ca_system_score_gemma":0.1631231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9854776,"about_ca_topic_score_gemma":0.9926451,"domain_scores_codex":[0.9918079,0.001672501,0.0001145795,0.0005272743,0.002210506,0.003667278],"domain_scores_gemma":[0.9894421,0.004074274,0.0003225947,0.0002117778,0.002319167,0.00363015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004024232,0.0001402609,0.004168132,0.00009087577,0.0000112989,0.001136115,0.3741478,0.0002713492,0.0001730884,0.5051641,0.07872272,0.03593406],"study_design_scores_gemma":[0.00001176335,0.00002093696,0.003393337,0.0003836711,0.00001517698,0.000256994,0.5931967,0.0001449986,0.0001488413,0.01964841,0.3827059,0.00007326188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1552438,0.007827618,0.001436569,0.2472834,0.0007681242,0.0000663953,0.0002541008,0.00004680836,0.5870731],"genre_scores_gemma":[0.8517609,0.01001702,0.0006468774,0.03329578,0.0001247396,0.0000515288,0.00009669264,0.0001167067,0.1038897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1259933,"threshold_uncertainty_score":0.9141498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148972525202397,"score_gpt":0.27974127016783,"score_spread":0.258251544915806,"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."}}