{"id":"W6989827007","doi":"","title":"Chapitre 1. Restructurer les marchés canadiens du logement : financements, accessibilité financière et étalement urbain","year":2014,"lang":"fr","type":"other","venue":"Cairn.info","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); The Internet; Set (abstract data type)","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002607488,0.002747889,0.002240065,0.001110063,0.0007594528,0.0004164095,0.002732089,0.001492028,0.194958],"category_scores_gemma":[0.001096305,0.002782552,0.0008004677,0.0009104757,0.001343117,0.0004190452,0.001629453,0.001599108,0.01957328],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01383722,"about_ca_system_score_gemma":0.002155293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1218354,"about_ca_topic_score_gemma":0.3953,"domain_scores_codex":[0.9875884,0.0008672111,0.002560084,0.003121859,0.001941741,0.003920669],"domain_scores_gemma":[0.9916766,0.0002550839,0.002407263,0.00379628,0.0005915504,0.001273224],"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":[0.0003171915,0.0005959704,0.06543326,0.002176243,0.001148634,0.000766665,0.008098841,0.001203878,0.0004723205,0.1804371,0.6805715,0.05877843],"study_design_scores_gemma":[0.002815072,0.0005275165,0.147308,0.001592885,0.0004564304,0.0000570798,0.0002215223,0.0004190324,0.0002074859,0.0008468803,0.8431792,0.00236888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1012861,0.01375143,0.000951072,0.006807344,0.007024596,0.007144915,0.009125561,0.0006213092,0.8532877],"genre_scores_gemma":[0.0609288,0.001006884,0.002012794,0.001708737,0.002155327,0.0008432398,0.00151697,0.001835278,0.927992],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2734646,"threshold_uncertainty_score":0.9998043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473967333240926,"score_gpt":0.2495864867913401,"score_spread":0.2348468134589308,"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."}}