{"id":"W4399190408","doi":"10.1515/9782763729299-toc","title":"Table des matières","year":2016,"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":"Ministry of Natural Resources and Wildlife","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":["insufficient_payload"],"category_scores_codex":[0.0001908454,0.0004969711,0.0005824143,0.00007663602,0.002557254,0.00005802657,0.0006505267,0.0006612496,0.006625484],"category_scores_gemma":[0.0001033458,0.0004398171,0.0003267936,0.00003652466,0.002671984,0.0001185607,0.0005831849,0.0003819964,0.001213125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502211,"about_ca_system_score_gemma":0.0001413068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05014876,"about_ca_topic_score_gemma":0.09354004,"domain_scores_codex":[0.9974183,0.0001850961,0.0003099975,0.0004848281,0.0004522715,0.001149496],"domain_scores_gemma":[0.9980189,0.000689261,0.0001961056,0.0002890661,0.0001733866,0.0006333263],"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":[0.0000927389,0.00002775361,0.0009259626,0.0001532132,0.0002444288,0.0002372652,0.006663145,0.000008065945,0.0001597212,0.8238639,0.01305599,0.1545678],"study_design_scores_gemma":[0.0003024247,0.00009764397,0.0004073799,0.0003257781,0.000279604,0.0000160737,0.0002902175,0.00001022431,0.0001583212,0.09482586,0.9027842,0.000502255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001944727,0.01650772,0.0006020181,0.001472687,0.0002667388,0.0002394789,0.0002162033,0.0001467554,0.9786037],"genre_scores_gemma":[0.07117123,0.005711542,0.0006891178,0.0002712624,0.0006574731,0.00001005098,0.000005870404,0.00005917128,0.9214243],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8897282,"threshold_uncertainty_score":0.9998053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942424463413237,"score_gpt":0.2035570516082393,"score_spread":0.1841328069741069,"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."}}