{"id":"W4394889610","doi":"10.1515/9782760644960-001","title":"Remerciements","year":2022,"lang":"fr","type":"book-chapter","venue":"Les Presses de l'Université de Montréal eBooks","topic":"Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"category_scores_codex":[0.01067252,0.001442618,0.001251188,0.002579482,0.005556337,0.0113131,0.002691719,0.003015652,0.1916281],"category_scores_gemma":[0.0501837,0.0004925919,0.0009790069,0.002600182,0.002605369,0.005889644,0.006411526,0.006029911,0.1243738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01141097,"about_ca_system_score_gemma":0.01984756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318954,"about_ca_topic_score_gemma":0.0357248,"domain_scores_codex":[0.9840789,0.002804988,0.000627615,0.001908113,0.009318785,0.001261696],"domain_scores_gemma":[0.9475239,0.003008986,0.001404825,0.005052862,0.03224841,0.01076103],"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":[0.00003382303,0.00002983415,0.0004602172,0.0001148455,0.00000862375,0.0002487644,0.002132829,0.00004949,0.0004654528,0.02467938,0.9177008,0.05407577],"study_design_scores_gemma":[0.000002083143,0.00000763064,0.0002415951,0.00007243976,0.000002477259,0.0001036594,0.0004981403,0.00001772355,0.00007649311,0.0007698619,0.9982028,0.000005115803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006347152,0.02567469,0.007835298,0.2261391,0.1414512,0.0005224755,0.004572622,0.001797988,0.5856594],"genre_scores_gemma":[0.01155275,0.00383724,0.002293632,0.005971285,0.004814162,0.0001367052,0.0008655814,0.0005400892,0.9699885],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.808372,"threshold_uncertainty_score":0.6410597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429199134592964,"score_gpt":0.1765329796283357,"score_spread":0.1622409882824061,"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."}}