{"id":"W6891441719","doi":"10.4224/23000325","title":"Housing research summary for 2015","year":2016,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; FPInnovations; Canadian Lung Association","keywords":"Code (set theory); Building code; Government (linguistics); Key (lock); Code of practice","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.004631791,0.0008415419,0.0007060677,0.003902738,0.001330698,0.00403369,0.002048976,0.001322767,0.2346634],"category_scores_gemma":[0.0115988,0.0007165713,0.0007114629,0.004249828,0.0002896059,0.002411696,0.0026181,0.001455728,0.2060318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004533884,"about_ca_system_score_gemma":0.01450357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09449353,"about_ca_topic_score_gemma":0.1706168,"domain_scores_codex":[0.9946808,0.0003052638,0.0004114384,0.0004753557,0.003740237,0.0003868609],"domain_scores_gemma":[0.9899149,0.0004018399,0.0003258565,0.0005879101,0.007983896,0.0007857123],"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":[0.00002144217,0.00001159388,0.0002352291,0.00009139,0.000002269091,0.000006125973,0.00001966389,0.00002779203,0.00003745377,0.000791511,0.9868753,0.01188031],"study_design_scores_gemma":[0.000006612297,0.0000131689,0.00327155,0.0001271244,0.000003346082,0.000008992371,0.00006042991,0.00003796548,0.0001242486,0.0001925492,0.9961461,0.000007964916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002010262,0.003482276,0.002015379,0.005806638,0.01224652,0.00086639,0.5974028,0.002345436,0.3738242],"genre_scores_gemma":[0.004458417,0.002555222,0.002522273,0.001195378,0.0008439153,0.001004969,0.3264498,0.0007265888,0.6602434],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2346634,"threshold_uncertainty_score":0.7850273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.272498168293375,"score_gpt":0.4749763326106005,"score_spread":0.2024781643172255,"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."}}