{"id":"W3128253950","doi":"","title":"Chapter 19 : Mark Turin","year":2004,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"History; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003417443,0.000234985,0.000240611,0.0000894608,0.001667984,0.0002397617,0.0005647092,0.0001938801,0.00115772],"category_scores_gemma":[0.0007497053,0.0002440024,0.000227377,0.0006323864,0.001275601,0.0003174756,0.0003269075,0.0002985518,0.0004098139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677965,"about_ca_system_score_gemma":0.0002748322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01700475,"about_ca_topic_score_gemma":0.02441306,"domain_scores_codex":[0.9959308,0.002204092,0.0003769195,0.0004885645,0.0004770815,0.0005225367],"domain_scores_gemma":[0.9968894,0.0006497341,0.0002216307,0.0008256558,0.00108683,0.0003268036],"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":[0.00000366971,0.0002821696,0.0003479072,0.00002761932,0.00004445568,0.000009168928,0.03363706,0.0000473179,0.0001037447,0.9268657,0.001410986,0.03722023],"study_design_scores_gemma":[0.000710363,6.02405e-7,0.004254326,0.000640413,0.00005800219,0.00001457828,0.001509801,0.0002404901,0.001809534,0.02470441,0.9656669,0.0003905845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04885741,0.01059621,0.01350575,0.3230267,0.0009942703,0.0003733399,0.00005031368,0.0001647556,0.6024312],"genre_scores_gemma":[0.8022822,0.00285137,0.01124673,0.0003908118,0.0001371522,0.0000199461,0.00003462904,0.00002953163,0.1830077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9642559,"threshold_uncertainty_score":0.9997554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544213935123147,"score_gpt":0.2425327577878001,"score_spread":0.2270906184365686,"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."}}