{"id":"W4390824744","doi":"10.1515/9782760308169-toc","title":"Table des matières","year":2014,"lang":"fr","type":"book-chapter","venue":"University of Ottawa Press eBooks","topic":"Short Stories in Global Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003034953,0.001055974,0.001242677,0.006314347,0.002504103,0.008146838,0.001512536,0.0009249978,0.7255571],"category_scores_gemma":[0.02686182,0.0005841845,0.001159231,0.008401974,0.0005865898,0.003439409,0.001680154,0.001533383,0.3961764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003140741,"about_ca_system_score_gemma":0.005004611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01759938,"about_ca_topic_score_gemma":0.01373768,"domain_scores_codex":[0.9971493,0.0004966161,0.0002928454,0.0005069314,0.001350651,0.0002037026],"domain_scores_gemma":[0.9838388,0.004652471,0.0007030383,0.001308221,0.008688773,0.0008087928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001928608,0.0000255771,0.0006774918,0.001098303,0.00002127069,0.00008019029,0.0002088633,0.0001334309,0.000358567,0.009411701,0.8738561,0.1139356],"study_design_scores_gemma":[0.00001483733,0.00001888755,0.0007627605,0.0003795968,0.00001083882,0.00008400959,0.000148514,0.00004128715,0.0001585901,0.001169167,0.9972031,0.000008521873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004172285,0.01939169,0.009207797,0.009751627,0.01857471,0.0009150525,0.2791575,0.00499259,0.6538367],"genre_scores_gemma":[0.01749466,0.01682252,0.01519363,0.003384008,0.004916568,0.00142105,0.160686,0.0040875,0.775994],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2744429,"threshold_uncertainty_score":0.3914594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260357661239236,"score_gpt":0.1916962526670674,"score_spread":0.169092676054675,"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."}}