{"id":"W6963905257","doi":"10.25318/3710008801-fra","title":"Dépenses de transfert interprovinciaux au niveau postsecondaire par province: (transferts à, et transferts de), par genre et selon les niveaux","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"South asia; Context (archaeology)","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":[0.0008561172,0.001112487,0.001200035,0.006968074,0.001077753,0.001979035,0.001459206,0.0007204088,0.02904185],"category_scores_gemma":[0.01087099,0.0005258231,0.001056707,0.01785991,0.0004677365,0.001076592,0.001114077,0.001562971,0.01651947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007320245,"about_ca_system_score_gemma":0.01295047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8020695,"about_ca_topic_score_gemma":0.8385432,"domain_scores_codex":[0.9983022,0.0001476649,0.0002504619,0.0003942097,0.0005700472,0.000335281],"domain_scores_gemma":[0.9938861,0.001278511,0.0006985978,0.0005134604,0.003271492,0.0003519453],"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":[0.0001151594,0.00001922934,0.02443321,0.0007483884,0.00008462243,0.00003760463,0.000125013,0.000336672,0.00008711119,0.0009445988,0.9661348,0.006933565],"study_design_scores_gemma":[0.0001551273,0.00001794237,0.1651679,0.0006997183,0.00009751565,0.0001034848,0.0008239454,0.0004323084,0.0004859637,0.0006125641,0.8313401,0.00006338654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001237354,0.0002243716,0.00005028647,0.0001239001,0.00003516234,0.00001000416,0.9965968,0.00007718372,0.00164506],"genre_scores_gemma":[0.005598232,0.0004678981,0.000246125,0.00007911247,0.00002336625,0.00006815683,0.9890147,0.0000564433,0.004445952],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1979305,"threshold_uncertainty_score":0.3981923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033142292158256,"score_gpt":0.2773664204499269,"score_spread":0.2670349975283443,"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."}}