{"id":"W6913023524","doi":"10.5683/sp3/g4guuw","title":"Recensement de la population, 2016 [Canada] Fichier de micro-données à grande diffusion (FMGD): Fichier des particuliers","year":2019,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Statistical analysis; Research methodology; Plant production","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":[0.006124296,0.0005053597,0.0005643148,0.003520067,0.003024446,0.00305479,0.001827647,0.000549591,0.01004092],"category_scores_gemma":[0.03296353,0.0004878425,0.0007675681,0.009729155,0.0009222245,0.001169424,0.001514202,0.001569814,0.001825214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0413664,"about_ca_system_score_gemma":0.08497593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922078,"about_ca_topic_score_gemma":0.9906175,"domain_scores_codex":[0.9934745,0.0005191091,0.0005835074,0.0007042796,0.00417508,0.0005434575],"domain_scores_gemma":[0.9713244,0.001809,0.001482697,0.0008313078,0.02299184,0.001560843],"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":[0.0002907934,0.00008213672,0.3792293,0.002104739,0.0003739324,0.00018576,0.008136993,0.001011351,0.0006738609,0.004511712,0.4300434,0.173356],"study_design_scores_gemma":[0.00005049206,0.00005615332,0.7099212,0.000848558,0.0001321697,0.0001041841,0.004710461,0.0006693274,0.0006722045,0.0003663127,0.2823713,0.00009765336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1092594,0.00914111,0.006915362,0.01424638,0.001080755,0.002240333,0.7518578,0.0009022175,0.1043567],"genre_scores_gemma":[0.4834257,0.01917376,0.02934124,0.007590535,0.0004631585,0.003912088,0.338117,0.0005726279,0.1174038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0413664,"threshold_uncertainty_score":0.3001356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463401023969605,"score_gpt":0.2523348310799823,"score_spread":0.2377008208402863,"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."}}