{"id":"W2521607471","doi":"","title":"Comment on R v H(S): Automatism and Evidential Burdens","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Automatism (medicine); Aside; Appeal; Law; State (computer science); Political science; Criminology; Psychology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007947,0.0005848784,0.001013418,0.0008051309,0.006881821,0.005016305,0.00562066,0.06269704,0.008855847],"category_scores_gemma":[0.02987302,0.0008049392,0.001858945,0.0008643022,0.009554023,0.005675352,0.003230254,0.03885657,0.003779367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005021393,"about_ca_system_score_gemma":0.005200053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04288957,"about_ca_topic_score_gemma":0.04199055,"domain_scores_codex":[0.9956906,0.001050154,0.0003733757,0.0009807948,0.0009687378,0.0009362124],"domain_scores_gemma":[0.9835582,0.01258189,0.0005412067,0.0006258948,0.002107092,0.0005856736],"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":[0.0000874785,0.00002600793,0.001199693,0.0001076631,0.00001876284,0.001989674,0.004502471,0.0002621759,0.0005580673,0.3139574,0.6723837,0.004906999],"study_design_scores_gemma":[0.0001017458,0.00009618307,0.003479941,0.0005099992,0.00005098214,0.001246708,0.007767817,0.001258657,0.001472845,0.1181665,0.8656475,0.000201122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00720751,0.0007186352,0.001317965,0.9267672,0.006887989,0.00005852185,0.0002441571,0.0001009971,0.05669716],"genre_scores_gemma":[0.04859325,0.0003830735,0.0006313137,0.9220765,0.005962799,0.00008291959,0.00004654975,0.00005236005,0.02217127],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06269704,"threshold_uncertainty_score":0.08527982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009119225227359914,"score_gpt":0.2783649677133679,"score_spread":0.269245742486008,"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."}}