{"id":"W4289836640","doi":"10.2196/39277","title":"Optimization of a Quality Improvement Tool for Cancer Diagnosis in Primary Care: Qualitative Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Cancer Research UK; Medical Research Council; Australian Government","keywords":"Medicine; Context (archaeology); Focus group; Referral; Thematic analysis; Usability; Intervention (counseling); Family medicine; Qualitative research; Test (biology); Nursing; Medical physics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03143416,0.0004874055,0.0009638871,0.001611357,0.00701491,0.003391321,0.001855626,0.001797215,0.001898439],"category_scores_gemma":[0.05211923,0.0006711908,0.0006325594,0.002093871,0.005206581,0.002701171,0.003753152,0.002175794,0.0002010958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008473385,"about_ca_system_score_gemma":0.009063847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006953637,"about_ca_topic_score_gemma":0.009346817,"domain_scores_codex":[0.9715655,0.02276671,0.0009388188,0.001062709,0.001843068,0.001823301],"domain_scores_gemma":[0.9362927,0.05152566,0.00345294,0.000988988,0.004723702,0.003016056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000043035,0.0001539928,0.005690832,0.000593001,0.00001016953,0.0006919878,0.9827261,0.00005197998,0.0006540042,0.0005075647,0.0006183118,0.00825907],"study_design_scores_gemma":[0.00001858818,0.0002645285,0.005979618,0.0006506509,0.00001325825,0.0003796263,0.9845806,0.0002598636,0.0004683628,0.0002369825,0.007124119,0.00002369239],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839961,0.001096431,0.005718884,0.00382951,0.00008992734,0.001425797,0.0002854072,0.00003651038,0.003521339],"genre_scores_gemma":[0.9904298,0.0008876287,0.005196034,0.00120644,0.00002804861,0.001036974,0.00009201284,0.00002446576,0.001098533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03143416,"threshold_uncertainty_score":0.1662417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866535091811029,"score_gpt":0.538939684647845,"score_spread":0.3522861754667421,"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."}}