{"id":"W2053128520","doi":"10.1503/cmaj.109-2027","title":"The authors' response","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Asthma; Computer science; Data science; Medicine; Information retrieval; Immunology","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":[0.01004287,0.0008057408,0.001515087,0.001129106,0.002757354,0.003522307,0.003274766,0.03022661,0.04557668],"category_scores_gemma":[0.1108885,0.0007763374,0.001525194,0.0007687481,0.00236441,0.003097981,0.003998925,0.03075259,0.01773686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004747511,"about_ca_system_score_gemma":0.0094099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00355087,"about_ca_topic_score_gemma":0.003550857,"domain_scores_codex":[0.989617,0.002972703,0.001462279,0.0008811362,0.003890385,0.001176596],"domain_scores_gemma":[0.9284951,0.02547874,0.004246628,0.002006459,0.03373588,0.006037138],"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":[0.00002508893,0.000007363355,0.0001654195,0.0001035547,0.000006347488,0.0001581399,0.0001176736,0.00002219394,0.00005260398,0.00051849,0.9959415,0.002881725],"study_design_scores_gemma":[0.00004739836,0.00004306408,0.0008251031,0.0005537851,0.00002026094,0.0006434557,0.0008030515,0.0001094764,0.0002293164,0.001164765,0.9954971,0.00006321087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002464945,0.0005116059,0.0001315402,0.9351979,0.06176983,0.00004810153,0.0002651669,0.0001221977,0.001707032],"genre_scores_gemma":[0.002410518,0.0004683105,0.0003440574,0.9745413,0.01442457,0.0001527392,0.00008702087,0.0000542361,0.007517209],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04557668,"threshold_uncertainty_score":0.1524692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005915614198268913,"score_gpt":0.2597746778373637,"score_spread":0.2538590636390948,"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."}}