{"id":"W7133136696","doi":"10.60918/22922","title":"Suivi du portrait des craquelins disponibles au Québec en 2019-20 et 2024","year":2025,"lang":"","type":"report","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Composition (language); Food consumption","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":[0.0007278121,0.0002293956,0.0001929867,0.001309809,0.003269037,0.001767416,0.0007188219,0.0004525694,0.01413897],"category_scores_gemma":[0.001457206,0.0001665862,0.0002311262,0.001649632,0.0007780122,0.0006987892,0.0009554546,0.001034342,0.001343205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01917658,"about_ca_system_score_gemma":0.01299915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9715479,"about_ca_topic_score_gemma":0.9911446,"domain_scores_codex":[0.9995095,0.00004899738,0.00001154221,0.0000869718,0.000209398,0.0001336126],"domain_scores_gemma":[0.9977463,0.00007587759,0.0001702385,0.00005227284,0.001384525,0.0005708289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007371343,0.0001343331,0.6686185,0.0004336721,0.0001629125,0.0008001784,0.05237986,0.0006331568,0.006445158,0.008191678,0.1038918,0.1575716],"study_design_scores_gemma":[0.00001139465,0.00006116147,0.8204567,0.0001495868,0.00003315286,0.00009398475,0.03625379,0.0005460076,0.0006646133,0.0001426293,0.1415351,0.0000518942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8830681,0.001727892,0.0009609904,0.005634511,0.0001641206,0.00009514972,0.01196799,0.0001549479,0.0962263],"genre_scores_gemma":[0.8947795,0.001201425,0.001084962,0.000992564,0.00001919228,0.00007050382,0.004429367,0.00005891039,0.09736362],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0284521,"threshold_uncertainty_score":0.1391365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05113064244198429,"score_gpt":0.3642718537825141,"score_spread":0.3131412113405299,"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."}}