{"id":"W6926553066","doi":"10.25318/1310083601-fra","title":"Besoins insatisfaits en matière de soins de santé selon le genre et le groupe d’âge","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; Government (linguistics); Health care","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":[0.0009813668,0.001058951,0.001189277,0.003060923,0.001097961,0.001525855,0.002268387,0.001211908,0.03095252],"category_scores_gemma":[0.01103813,0.0004361934,0.001071677,0.008215046,0.0003370837,0.0007772712,0.001153033,0.001704195,0.01108839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007226029,"about_ca_system_score_gemma":0.01452906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8819284,"about_ca_topic_score_gemma":0.9151058,"domain_scores_codex":[0.9989908,0.00008701078,0.000116767,0.0002309256,0.0002862471,0.0002880518],"domain_scores_gemma":[0.9935226,0.001356755,0.0006875307,0.000441355,0.003245719,0.0007459012],"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":[0.000113176,0.00001817877,0.02173666,0.000361945,0.0000855321,0.00002197579,0.00006655278,0.0002676676,0.000028225,0.0004276985,0.9745632,0.002309236],"study_design_scores_gemma":[0.0004877569,0.00002802228,0.3175672,0.001267081,0.0002271573,0.0001737346,0.0008475174,0.001193093,0.0002702705,0.001049683,0.6767836,0.0001049249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006042357,0.00006759186,0.00001888791,0.0000915104,0.00001084045,0.000004376664,0.9987279,0.00003120491,0.0004434522],"genre_scores_gemma":[0.004434299,0.0001352034,0.0001549707,0.00008460025,0.00000942597,0.0000535941,0.9936267,0.00002851216,0.001472763],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1180716,"threshold_uncertainty_score":0.2375337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005017664156725646,"score_gpt":0.2425546023570018,"score_spread":0.2375369382002762,"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."}}