{"id":"W6969032923","doi":"10.5683/sp3/5k9ryg","title":"Recensement de la population de 2006 [Canada] Fichier de microdonnées à grande diffusion (FMGD) : Fichier des particuliers","year":2010,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Population; Statistical analysis; Projections of population growth; Official statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008109014,0.001156447,0.0008943808,0.004555229,0.001592761,0.002326871,0.001991073,0.0008411947,0.007477314],"category_scores_gemma":[0.004374745,0.0005050383,0.0007394348,0.01099788,0.0004907339,0.000629443,0.000840404,0.001276486,0.004951302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01591253,"about_ca_system_score_gemma":0.02985724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867406,"about_ca_topic_score_gemma":0.9929608,"domain_scores_codex":[0.9990397,0.00005051253,0.00006426583,0.0002174454,0.0004157216,0.0002122675],"domain_scores_gemma":[0.996314,0.0001786937,0.0002491729,0.0002701032,0.002673788,0.0003143542],"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":[0.0001114846,0.00003416181,0.03735364,0.0004779283,0.0001063695,0.00008239229,0.0003863522,0.0007409496,0.0002701127,0.0012054,0.9476796,0.01155162],"study_design_scores_gemma":[0.0001137483,0.00001641918,0.2320188,0.0003282519,0.0000857311,0.0001121419,0.0006795922,0.001586452,0.0009022913,0.0003792983,0.7637019,0.00007533789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00320431,0.0002661164,0.0001577322,0.0001800362,0.000026734,0.00001979449,0.9937768,0.0001938452,0.0021747],"genre_scores_gemma":[0.007808141,0.0002744556,0.0007399258,0.00007332843,0.00001194351,0.00005116504,0.9869264,0.00004809252,0.004066566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01591253,"threshold_uncertainty_score":0.115454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00897962343090425,"score_gpt":0.2461405527212093,"score_spread":0.2371609292903051,"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."}}