{"id":"W6926724816","doi":"10.25318/9810010301-fra","title":"Situation de faible revenu, selon l’âge et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Advanced Mathematical Identities","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Census; Population; China","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002472102,0.0007944598,0.0008229329,0.0002446891,0.001170918,0.0002997722,0.0007489311,0.0002701913,0.002744071],"category_scores_gemma":[0.008242357,0.0009520362,0.00008780856,0.0004485232,0.0001333326,0.0003352526,0.0005219483,0.001203468,0.000004507564],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01163288,"about_ca_system_score_gemma":0.01378331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9462785,"about_ca_topic_score_gemma":0.9992481,"domain_scores_codex":[0.992791,0.001433767,0.001470491,0.0008341189,0.00224007,0.001230582],"domain_scores_gemma":[0.9918132,0.004941885,0.001234461,0.0009442333,0.0005075998,0.0005586109],"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":[0.0000223494,0.0004901018,0.00004327278,0.00185136,0.0001479712,0.0002904541,0.001512509,0.0009461123,0.0001994364,0.0919441,0.9007598,0.001792569],"study_design_scores_gemma":[0.0005583367,0.0002099005,0.00193461,0.001826199,0.0006720675,0.00007842215,0.007297122,0.003386347,0.0004856393,0.1041503,0.8780855,0.001315557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009031653,0.000448415,0.1215238,0.008978299,0.0008936324,0.001567545,0.8652913,0.00005929565,0.0003345647],"genre_scores_gemma":[0.003129379,0.002157902,0.09774502,0.001156924,0.00009232858,0.000776499,0.8810617,0.0002052144,0.01367503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05296964,"threshold_uncertainty_score":0.999293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553782354360457,"score_gpt":0.3096812055377451,"score_spread":0.2941433819941406,"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."}}