{"id":"W6888973115","doi":"10.25318/3910004901-fra","title":"Nombre et pourcentage de propriétés résidentielles, par statut de résidence, provinces de la Colombie-Britannique et de l'Ontario et leurs subdivisions de recensement","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":"Context (archaeology); Census; Population; Residence","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":[0.001029587,0.001282715,0.001336958,0.006287604,0.001091511,0.001982451,0.001855538,0.0008359016,0.03399613],"category_scores_gemma":[0.009802899,0.0008170693,0.001069027,0.01689144,0.0005628271,0.0008126562,0.001167841,0.001366751,0.0185964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016812,"about_ca_system_score_gemma":0.01864237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9308295,"about_ca_topic_score_gemma":0.9556525,"domain_scores_codex":[0.9985157,0.0001088936,0.0001972789,0.0002889744,0.0005733353,0.0003157927],"domain_scores_gemma":[0.9939076,0.001015552,0.000697169,0.0005075257,0.003345143,0.0005269777],"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":[0.0000782075,0.00001191989,0.01400562,0.0009970661,0.00008470775,0.00002840988,0.000172615,0.000334474,0.00009719287,0.0005537521,0.9799284,0.003707558],"study_design_scores_gemma":[0.0001921136,0.00001680761,0.1864384,0.0007177044,0.0001074758,0.00008709586,0.0007455134,0.0004656984,0.0002692435,0.0004373866,0.8104537,0.00006889206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000430275,0.00009181967,0.0000261465,0.0000542058,0.00001031172,0.0000067906,0.9986799,0.00004644602,0.0006539319],"genre_scores_gemma":[0.002573837,0.0002843025,0.000218727,0.00004783958,0.000009699931,0.00007686068,0.9934133,0.00003974223,0.003335726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06917053,"threshold_uncertainty_score":0.1391557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074329919155719,"score_gpt":0.3293754055773374,"score_spread":0.3086321063857802,"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."}}