{"id":"W7047794639","doi":"","title":"The implications of judicial utterances: an examination of the legal basis of murder investigations (1919-1939)","year":2024,"lang":"en","type":"dissertation","venue":"Open Access at Essex (University of Essex)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; University of Toronto; Harvard University; Connaught Fund; University of Oxford; University of Cambridge","keywords":"Inquest; Legislation; Position (finance); Legal process; Criticism; Confusion; Criminal law; Judicial opinion; Criminal procedure; Argument (complex analysis)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01591385,0.0002222722,0.0004651055,0.005678657,0.01521978,0.009193194,0.002847533,0.004987339,0.003991027],"category_scores_gemma":[0.09790251,0.0006999109,0.0004034369,0.005095629,0.01429748,0.006380798,0.005351141,0.006672688,0.0004489425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01385405,"about_ca_system_score_gemma":0.007714718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07112139,"about_ca_topic_score_gemma":0.1238053,"domain_scores_codex":[0.9876962,0.006087021,0.0007831749,0.0009820053,0.00228657,0.002164891],"domain_scores_gemma":[0.9151264,0.06671306,0.006766174,0.001093003,0.009264545,0.001036835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001025504,0.00006895294,0.01819658,0.0001957539,0.00001623288,0.004220439,0.7463724,0.00014741,0.0004466483,0.1922864,0.009244359,0.02870224],"study_design_scores_gemma":[0.00003980194,0.0001536094,0.1607676,0.002550558,0.00007062835,0.002258953,0.555333,0.0006919409,0.0008393757,0.02653719,0.2506213,0.000136065],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.717411,0.02087518,0.001585878,0.04493628,0.0008496775,0.0001254968,0.0003334431,0.00002224965,0.2138607],"genre_scores_gemma":[0.9867032,0.003946481,0.0003294519,0.002698039,0.0004524861,0.00005189275,0.00008924666,0.00004010504,0.005688962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07112139,"threshold_uncertainty_score":0.1414148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03426357580501136,"score_gpt":0.3350195983751812,"score_spread":0.3007560225701699,"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."}}