{"id":"W6947976519","doi":"10.4224/23002016","title":"Material emission information from: 105 building materials and consumer products","year":2012,"lang":"en","type":"report","venue":"NPARC","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Sample (material); Air pollution; Indoor air; Test (biology); Indoor air quality; Contamination; Sample preparation; Test method","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005665802,0.0009373754,0.0003583707,0.002636003,0.0005556078,0.0005084569,0.0005908752,0.0004051474,0.05138115],"category_scores_gemma":[0.0006529276,0.0002871058,0.0003587123,0.002268999,0.00007987818,0.0005499707,0.0004256569,0.0002454781,0.01511727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006614575,"about_ca_system_score_gemma":0.0006442622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006008711,"about_ca_topic_score_gemma":0.0133416,"domain_scores_codex":[0.999,0.00005934829,0.00007338543,0.0001048768,0.000683483,0.00007891886],"domain_scores_gemma":[0.9994321,0.0001475119,0.00009755076,0.0000540134,0.0002421518,0.00002668131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00133859,0.0009222425,0.1632263,0.004051402,0.0001693042,0.001591545,0.0005245432,0.005729549,0.1051996,0.001081879,0.1540922,0.5620729],"study_design_scores_gemma":[0.00005855049,0.0009245503,0.3102304,0.0003298592,0.0001762561,0.001434043,0.0005499546,0.002384601,0.1593802,0.0005930852,0.5238247,0.0001138284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4006467,0.003687885,0.01059983,0.0002507593,0.0001207488,0.001080986,0.4061261,0.002115189,0.1753718],"genre_scores_gemma":[0.5059725,0.003309324,0.01227446,0.0003533471,0.00007639664,0.0007507466,0.3848102,0.0003902935,0.09206266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05138115,"threshold_uncertainty_score":0.1718871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06457679646987896,"score_gpt":0.217505687837584,"score_spread":0.152928891367705,"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."}}