{"id":"W6945380052","doi":"10.25318/9810056701-fra","title":"Indicateurs de qualité des données du questionnaire détaillé pour la scolarité : Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement","year":2023,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Public health; Census","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","sts"],"consensus_categories":[],"category_scores_codex":[0.002002184,0.0006755135,0.000505069,0.0003471983,0.001962312,0.0004761518,0.0007362777,0.0003635572,0.0004156009],"category_scores_gemma":[0.002648117,0.0007612691,0.00008214777,0.0005953566,0.0004501348,0.0003145734,0.0001254747,0.0007602934,0.00003027314],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003184147,"about_ca_system_score_gemma":0.01376438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955712,"about_ca_topic_score_gemma":0.9998765,"domain_scores_codex":[0.9937361,0.002122318,0.0008846479,0.0007859389,0.001085432,0.001385575],"domain_scores_gemma":[0.9951279,0.002448739,0.0006787734,0.0004522399,0.0003849698,0.0009074325],"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":[0.0000491618,0.0001476951,0.1564574,0.0005332449,0.0001683819,0.0007818178,0.0009173298,0.000701846,0.00001272202,0.001400078,0.8325232,0.006307143],"study_design_scores_gemma":[0.0004241345,0.0001680016,0.5133312,0.001232622,0.0004319941,0.0001511737,0.005353459,0.002028913,0.00006164115,0.001627186,0.4742748,0.0009148077],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03607247,0.0007402475,0.007476013,0.01762427,0.0009160054,0.0009182635,0.9360039,0.00007705113,0.0001717421],"genre_scores_gemma":[0.07849057,0.006811765,0.0163222,0.001843254,0.0002543566,0.0001060684,0.8945271,0.00004704825,0.001597613],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3582483,"threshold_uncertainty_score":0.9994838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108146451561843,"score_gpt":0.2555259354972879,"score_spread":0.2244444709816694,"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."}}