{"id":"W4220735575","doi":"10.46747/cfp.6803237","title":"Solving the access problem","year":2022,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Primary care; Computer science; IMG; Family medicine; Data science; Operations research; Medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005297009,0.00006048987,0.00006805656,0.00008616968,0.003069654,0.000125481,0.0006117887,0.00002485549,0.00005197277],"category_scores_gemma":[0.00001088871,0.00005703556,0.00003174535,0.0006826277,0.000103042,0.0001446118,0.00005117304,0.0002468433,0.00003448563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005426944,"about_ca_system_score_gemma":0.001939681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1329863,"about_ca_topic_score_gemma":0.4558975,"domain_scores_codex":[0.9988183,0.0002137734,0.0001092074,0.0001432578,0.0002955869,0.0004198892],"domain_scores_gemma":[0.9994682,0.00004524392,0.00004748443,0.0001612435,0.00007640622,0.0002014334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001427437,0.00001609344,0.0001605865,0.000006832471,0.00001249132,0.00001031587,0.008935619,0.00001797657,0.00003499423,0.5977419,0.1684604,0.2246013],"study_design_scores_gemma":[0.00003377571,0.000008294443,0.001058684,0.000003114723,0.000001520049,4.478131e-8,0.0352087,0.00001154906,0.000001857421,0.005220116,0.9583751,0.00007726903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01456334,0.0003379557,0.000006245377,0.1391665,0.0005527477,0.0003161464,0.00003047307,0.00005957934,0.844967],"genre_scores_gemma":[0.8019356,0.00002115608,0.000009825841,0.1968879,0.0003354643,0.00007660431,0.000006697533,0.000009696083,0.0007170792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.84425,"threshold_uncertainty_score":0.9982282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08421044749045374,"score_gpt":0.3403452881917843,"score_spread":0.2561348407013306,"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."}}