{"id":"W7067562626","doi":"","title":"L'utilisation et le jugement des dictionnaires de franÃ§ais par des Ã©tudiants quÃ©bÃ©cois et acadiens","year":2016,"lang":"en","type":"other","venue":"reroDoc Digital Library","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Term (time); Significant difference; Content (measure theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.003357796,0.0004622058,0.0002709331,0.002289824,0.00235991,0.004585944,0.0006091203,0.0005708,0.004703316],"category_scores_gemma":[0.02092677,0.0001867742,0.0002407144,0.002405145,0.002274509,0.001473728,0.001106096,0.0006136277,0.001005637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006060089,"about_ca_system_score_gemma":0.00544002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4727088,"about_ca_topic_score_gemma":0.660294,"domain_scores_codex":[0.9963288,0.001086157,0.0002309968,0.0003035266,0.001700549,0.0003500043],"domain_scores_gemma":[0.9822208,0.006196313,0.003117274,0.0008425486,0.006224736,0.001398309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000395008,0.0001376964,0.380489,0.0005750707,0.0001053479,0.001750936,0.3399896,0.0002737905,0.01139411,0.003558768,0.006105111,0.2552256],"study_design_scores_gemma":[0.00001928732,0.0002876236,0.7348157,0.0004724973,0.00005289282,0.00232059,0.1436557,0.0005930899,0.002874614,0.0002511244,0.1145236,0.0001333887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793895,0.001110286,0.000498731,0.0007282532,0.00005319341,0.00002320262,0.0002408536,0.00002345957,0.01793247],"genre_scores_gemma":[0.9766185,0.001394464,0.001172936,0.0001769477,0.00002966566,0.00001401988,0.0002769592,0.00003186809,0.02028461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5272912,"threshold_uncertainty_score":0.9399146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471435976843019,"score_gpt":0.2626974861799032,"score_spread":0.247983126411473,"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."}}