{"id":"W6926653349","doi":"10.25318/9810004501-fra","title":"Type de logement collectif, âge et genre pour la population dans les logements collectifs : Canada, provinces et territoires","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Resilience (materials science); Entitlement (fair division); Vulnerability (computing)","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":[0.0009740582,0.002210031,0.00150612,0.004482576,0.001500999,0.002280837,0.002807291,0.001572626,0.02113145],"category_scores_gemma":[0.006443433,0.0007613211,0.001890192,0.01228922,0.0005922643,0.0008683123,0.001233246,0.001911002,0.01723156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01187016,"about_ca_system_score_gemma":0.02566485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9585273,"about_ca_topic_score_gemma":0.974166,"domain_scores_codex":[0.9989486,0.0000728556,0.0001034384,0.0002208824,0.0003677585,0.0002864631],"domain_scores_gemma":[0.9951634,0.0006110764,0.0003038072,0.0004232125,0.002995616,0.0005028136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007680865,0.00002003478,0.006520472,0.000522356,0.00006733696,0.00002483106,0.00004855027,0.000480979,0.00008360486,0.0003291811,0.988809,0.003016747],"study_design_scores_gemma":[0.0003314916,0.00001999449,0.08945813,0.0008919682,0.000126595,0.0001050584,0.0004112948,0.001337832,0.0004655441,0.0008226382,0.9059358,0.00009374936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00020936,0.00009212717,0.00002365444,0.00005220253,0.00001044077,0.00000426724,0.9992151,0.00007851115,0.0003141716],"genre_scores_gemma":[0.001012054,0.0001294753,0.0001794353,0.00004739716,0.000004888084,0.00002933007,0.9977006,0.00002579725,0.0008708839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04147273,"threshold_uncertainty_score":0.08612442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008720259604539655,"score_gpt":0.2655448801198658,"score_spread":0.2568246205153261,"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."}}