{"id":"W6894241760","doi":"10.5683/sp3/65oov6","title":"Bulletin de l'IDD Volume 14 Numéro 2","year":2013,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Section (typography); Volume (thermodynamics); Subject matter","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003987083,0.002574459,0.002707511,0.01053262,0.001854077,0.009287136,0.00277932,0.001907353,0.1006331],"category_scores_gemma":[0.01635361,0.0009458845,0.002200081,0.01017851,0.001216179,0.003620437,0.004693941,0.0035583,0.1762123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004266162,"about_ca_system_score_gemma":0.007746995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03908185,"about_ca_topic_score_gemma":0.06526449,"domain_scores_codex":[0.9929883,0.001016627,0.0007072341,0.00131512,0.003217929,0.0007547792],"domain_scores_gemma":[0.9913163,0.002018111,0.0005698301,0.002565427,0.002551734,0.0009786212],"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":[0.00002830133,0.00001481252,0.0005576167,0.0001801369,0.00001379051,0.00001255125,0.00002020794,0.00006741374,0.00007352991,0.0006363207,0.992932,0.005463313],"study_design_scores_gemma":[0.00003885569,0.000007405343,0.001748683,0.0001659198,0.000009504052,0.00005166586,0.00005426503,0.0002348439,0.0002059143,0.0007399371,0.9967295,0.00001352915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008735382,0.001845795,0.00101062,0.00135387,0.001215578,0.0001052629,0.9752662,0.003395852,0.01493322],"genre_scores_gemma":[0.0009920644,0.0005560709,0.001092145,0.0002478358,0.0001412162,0.0001632096,0.9877229,0.0005051987,0.008579486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1006331,"threshold_uncertainty_score":0.3366511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476128210640551,"score_gpt":0.2459194913360406,"score_spread":0.2311582092296351,"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."}}