{"id":"W6926282609","doi":"10.25318/9810010101-fra","title":"Situation de faible revenu, selon les caractéristiques de la famille économique : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Legislation; Work (physics)","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":[0.001146048,0.001554274,0.001222555,0.004173136,0.001594326,0.00269661,0.002973203,0.001505271,0.013524],"category_scores_gemma":[0.008866221,0.0005984945,0.001414226,0.01082264,0.0005685962,0.000781356,0.00156185,0.002152068,0.008131352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01359144,"about_ca_system_score_gemma":0.02773064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9677512,"about_ca_topic_score_gemma":0.9793616,"domain_scores_codex":[0.9988998,0.00009006938,0.0001138704,0.0002192472,0.0003300878,0.0003469255],"domain_scores_gemma":[0.995989,0.0005279423,0.0003843775,0.0003411908,0.002257406,0.0005001095],"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":[0.0001181782,0.00002883821,0.01581935,0.0003902754,0.0001025876,0.00004632348,0.00008442614,0.0006180314,0.00004543257,0.00057645,0.9791916,0.002978671],"study_design_scores_gemma":[0.0007936267,0.0000306547,0.225371,0.001125451,0.0002025856,0.0001755166,0.001020836,0.001967719,0.0003692594,0.001196873,0.7676358,0.0001106009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006540398,0.00007784667,0.00002299077,0.0001032723,0.00001092629,0.000007924043,0.9986204,0.0000503248,0.0004522549],"genre_scores_gemma":[0.003326738,0.0001139693,0.000162013,0.00005550796,0.000007050662,0.00005742086,0.9950851,0.00001967441,0.001172441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0322488,"threshold_uncertainty_score":0.09861326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603096030075864,"score_gpt":0.2825807285604949,"score_spread":0.2665497682597363,"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."}}