{"id":"W4395059245","doi":"10.1515/9782760646049-toc","title":"Table des matières","year":2022,"lang":"fr","type":"book-chapter","venue":"Les Presses de l'Université de Montréal eBooks","topic":"Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche Sur L’Intégration Professionnelle des Immigrants","funders":"","keywords":"Table (database); Computer science; Database","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002304725,0.0004722895,0.0005746086,0.00008646472,0.004432098,0.00005992976,0.0007413258,0.0004418938,0.0242694],"category_scores_gemma":[0.00008677231,0.0005143608,0.0003468002,0.0000604978,0.001946334,0.0001141607,0.00101079,0.0006703437,0.0004210056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003513141,"about_ca_system_score_gemma":0.0001635318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1670733,"about_ca_topic_score_gemma":0.1221556,"domain_scores_codex":[0.9972801,0.0002632055,0.0003098088,0.0004982839,0.0005760196,0.001072616],"domain_scores_gemma":[0.9982558,0.0006042533,0.0001964274,0.0002854347,0.0001128986,0.0005452249],"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":[0.0001081963,0.00004756657,0.0009416981,0.0001818756,0.0002836282,0.0004457186,0.01403703,0.0001184444,0.00006182378,0.8893673,0.0189215,0.07548521],"study_design_scores_gemma":[0.000258231,0.0001414462,0.0003811599,0.00009406957,0.0003483017,0.00002317007,0.0009377088,0.00003544784,0.00005262462,0.04636464,0.9508406,0.0005226036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002734522,0.02131244,0.0001433547,0.001123793,0.0003072257,0.0002672716,0.0002538289,0.0001503415,0.9737072],"genre_scores_gemma":[0.0653623,0.007351485,0.0007992272,0.0004102659,0.0004665617,0.0000229553,0.00002584364,0.00007257861,0.9254888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9319191,"threshold_uncertainty_score":0.9997308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077112747242401,"score_gpt":0.2039203026613972,"score_spread":0.1831491751889732,"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."}}