{"id":"W4246456749","doi":"10.29390/cjrt-2018-009","title":"Medical Air: What you don’t know won’t hurt you, but what about your patients?","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Respiratory Therapy","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Air Liquide (Canada); Canadian Standards Association","funders":"","keywords":"Medicine; Psychology; Internet privacy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003333132,0.0005906583,0.001076006,0.0006846926,0.00573648,0.004998121,0.0009531506,0.008702478,0.03355989],"category_scores_gemma":[0.02252292,0.0003047556,0.0009690552,0.0005551994,0.004061468,0.005824171,0.002933232,0.009619518,0.01236441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002652803,"about_ca_system_score_gemma":0.006782293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01798607,"about_ca_topic_score_gemma":0.02973363,"domain_scores_codex":[0.9957058,0.001319516,0.0003680857,0.0003228397,0.001617865,0.0006658995],"domain_scores_gemma":[0.9887554,0.002078298,0.000893602,0.0003108263,0.003631377,0.004330511],"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":[0.0001694587,0.0002045277,0.01066776,0.0008509214,0.0000911486,0.0005549156,0.002556994,0.00005696302,0.0007451438,0.003525281,0.8808936,0.09968323],"study_design_scores_gemma":[0.000111607,0.0003426849,0.01324425,0.002834718,0.000135383,0.002303202,0.01109622,0.00008222712,0.0005630721,0.009057078,0.9600665,0.0001630359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003661555,0.02620151,0.000578706,0.9228152,0.01969611,0.00002892655,0.0002451365,0.0001404188,0.02663249],"genre_scores_gemma":[0.1183012,0.05900401,0.002673578,0.7119689,0.04548545,0.0001429952,0.0005111026,0.0003316418,0.06158108],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03355989,"threshold_uncertainty_score":0.112269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04499521963384419,"score_gpt":0.2997095489209677,"score_spread":0.2547143292871236,"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."}}