{"id":"W4246168700","doi":"10.4000/books.inha.9249","title":"Remerciements","year":2019,"lang":"fr","type":"book-chapter","venue":"Publications de l’Institut national d’histoire de l’art eBooks","topic":"Canadian Identity and History","field":"Social Sciences","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":[0.007816654,0.00117367,0.001460845,0.003517605,0.006216589,0.007769218,0.002418125,0.001484023,0.1503906],"category_scores_gemma":[0.04325031,0.0003991541,0.0007104039,0.002965447,0.00280927,0.005156283,0.004355433,0.005080348,0.07673517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0197219,"about_ca_system_score_gemma":0.02387703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09307268,"about_ca_topic_score_gemma":0.1594442,"domain_scores_codex":[0.9837959,0.001973632,0.0004632403,0.001543741,0.01119369,0.001029779],"domain_scores_gemma":[0.9482923,0.003560297,0.0009432511,0.003313186,0.03744182,0.006449146],"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":[0.00002884096,0.00001515378,0.0002824363,0.0001311727,0.000005839337,0.0002249388,0.004048713,0.00006983758,0.0005098895,0.03390202,0.9211436,0.03963758],"study_design_scores_gemma":[0.000001691255,0.000002759115,0.0001717915,0.00007598573,0.000002175935,0.00009751822,0.0006251442,0.00001993661,0.00008184383,0.001193791,0.9977209,0.000006496333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006885932,0.02903113,0.009882775,0.2076445,0.1065264,0.00053375,0.01228488,0.002312962,0.6248976],"genre_scores_gemma":[0.02618951,0.006129475,0.005135566,0.008530991,0.007170597,0.0002075946,0.002087109,0.001385693,0.9431635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8496094,"threshold_uncertainty_score":0.5031068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877504444384254,"score_gpt":0.2489678106141669,"score_spread":0.2201927661703243,"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."}}