{"id":"W2884873501","doi":"10.1152/japplphysiol.00342.2018","title":"Airway smooth muscle proliferation and inflammation in asthma","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"National Health and Medical Research Council; Medical Research Council; Department of Health and Aged Care, Australian Government; Canadian Institutes of Health Research; Health Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Government of Canada","keywords":"Asthma; Inflammation; Proliferating cell nuclear antigen; Eosinophil; Medicine; Immunology; Cell growth; Airway; Pathology; Proliferation Marker; Internal medicine; Biology; Immunohistochemistry; Anesthesia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004562335,0.0001779335,0.0002558164,0.0005361888,0.0002319587,0.0004110844,0.0002207463,0.0004238926,0.001167516],"category_scores_gemma":[0.0005378105,0.0001398786,0.0001731735,0.0003605053,0.0005460018,0.0003124936,0.0003763109,0.0006812431,0.0002377685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535337,"about_ca_system_score_gemma":0.000181419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007116419,"about_ca_topic_score_gemma":0.0009427102,"domain_scores_codex":[0.9997554,0.00006721974,0.00001539825,0.00005751721,0.00007008411,0.000034339],"domain_scores_gemma":[0.999651,0.00006435754,0.000164344,0.00002165656,0.00004758157,0.0000511403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002428694,0.0002564952,0.3323767,0.002012242,0.000310103,0.004123818,0.001899856,0.0004752729,0.4503119,0.002383053,0.002028668,0.2013932],"study_design_scores_gemma":[0.00002055017,0.001035731,0.9708852,0.0002383831,0.0001078896,0.004987336,0.0007083025,0.0004340271,0.009668255,0.001364268,0.01052712,0.00002299939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8210407,0.1708132,0.000906564,0.001126112,0.0002783991,0.0000333916,0.0001736976,0.00004244596,0.005585475],"genre_scores_gemma":[0.9641915,0.031871,0.0006849158,0.000256117,0.0003213147,0.00002307708,0.0001448198,0.000004855344,0.002502322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001167516,"threshold_uncertainty_score":0.003905714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007808350508690036,"score_gpt":0.251852828271541,"score_spread":0.244044477762851,"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."}}