{"id":"W6902094749","doi":"10.6084/m9.figshare.19290199.v1","title":"A scoping review of asthma and machine learning","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Memorial University of Newfoundland","funders":"","keywords":"Asthma; Scopus; Random forest; Profiling (computer programming); Cohort; Cohort study; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002343573,0.00007598927,0.0001707679,0.00005725777,0.0002068229,0.00002132429,0.0004479231,0.00001401342,0.04721773],"category_scores_gemma":[0.001232818,0.00007934983,0.00003492845,0.0003193809,0.000002636494,0.0001001113,0.001060125,0.000374601,0.00004202933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002140109,"about_ca_system_score_gemma":0.00009587755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002405053,"about_ca_topic_score_gemma":0.000003570277,"domain_scores_codex":[0.9988781,0.0002670314,0.0001998058,0.0002370476,0.0002705799,0.0001474135],"domain_scores_gemma":[0.9992758,0.0001759454,0.0001730453,0.0002645124,0.00005617828,0.0000545381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001363902,0.0001104206,0.00688466,0.4773295,0.00004208501,0.0001945788,0.002980838,0.003282184,0.00005756132,0.002506788,0.1280974,0.3785004],"study_design_scores_gemma":[0.0004916306,0.0007284693,0.003988454,0.5239286,0.000005400831,0.0003781857,0.00003136236,0.1493627,0.00009382462,0.0001096388,0.3202491,0.0006326265],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0005715567,0.9325469,0.001124197,0.01068489,0.0004132291,0.003762976,0.03867998,0.001279881,0.01093636],"genre_scores_gemma":[0.7127829,0.0137496,0.07030427,0.04488433,0.0008180368,0.007246645,0.1451935,0.0004169316,0.004603751],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9187973,"threshold_uncertainty_score":0.9536532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05497438072910185,"score_gpt":0.3196994297447963,"score_spread":0.2647250490156945,"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."}}