{"id":"W4205363089","doi":"10.4000/books.editionscnrs.31073","title":"Introduction","year":2005,"lang":"fr","type":"book-chapter","venue":"CNRS Éditions eBooks","topic":"Political and Social Issues","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Lévis","funders":"","keywords":"Computer science","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":["sts","insufficient_payload"],"category_scores_codex":[0.0002733815,0.0003724373,0.0004380765,0.0001306233,0.004411146,0.0001037697,0.0002936036,0.0007240463,0.02106651],"category_scores_gemma":[0.00009883779,0.0004210958,0.0003782031,0.00004204824,0.007859092,0.0001605614,0.00006862106,0.0006152758,0.007377447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000476582,"about_ca_system_score_gemma":0.0002233478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005731622,"about_ca_topic_score_gemma":0.0004955441,"domain_scores_codex":[0.9977563,0.0001318093,0.0004652643,0.0005113152,0.0004869899,0.0006482895],"domain_scores_gemma":[0.9987158,0.0001630586,0.0001702909,0.0003281597,0.0002121663,0.0004105052],"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":[0.000002650413,0.00003063966,0.000001074912,0.00001434253,0.00005810239,0.000007225756,0.0012218,0.00000143738,0.00001381441,0.9380262,0.01797714,0.04264554],"study_design_scores_gemma":[0.00006761684,0.00003157663,0.00002466687,0.00005266016,0.0001136073,0.000003379285,0.0002961831,0.000002860711,0.00003384991,0.3217661,0.6772986,0.0003088463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006315302,0.0003655843,0.00008846062,0.03254849,0.002677294,0.0003050429,0.0001738453,0.0001923448,0.9630174],"genre_scores_gemma":[0.05331702,0.0003228151,0.0003918264,0.000715798,0.03478174,0.0000352821,0.00009358919,0.00005067871,0.9102913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6593215,"threshold_uncertainty_score":0.9998241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03701579254240158,"score_gpt":0.2944485252654009,"score_spread":0.2574327327229994,"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."}}