{"id":"W3118744455","doi":"10.22541/au.157541703.33952092","title":"The Population Health Information Technology Assessment (PHITA): Understanding the Ability of Primary Care Practices to Report Clinical Quality Metrics","year":2019,"lang":"en","type":"dataset","venue":"Authorea","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health","funders":"","keywords":"Interview; Preparedness; Quality (philosophy); Population; Scale (ratio); Health care; Medicine; Best practice; Quality management; Qualitative property; Medical education; Applied psychology; Psychology; Family medicine; Computer science; Operations management; Environmental health; Engineering","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":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09333543,0.0002953365,0.001767471,0.0006849999,0.0006265803,0.0001944481,0.0009093672,0.0006310373,0.00002809315],"category_scores_gemma":[0.03532852,0.0002480605,0.0002482456,0.0008400941,0.000176868,0.000656376,0.0002926642,0.0009418873,0.0002475357],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004711629,"about_ca_system_score_gemma":0.001422975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007234456,"about_ca_topic_score_gemma":0.001408576,"domain_scores_codex":[0.9849744,0.001856145,0.01158267,0.0007023961,0.0004087725,0.0004756221],"domain_scores_gemma":[0.9629737,0.0069166,0.02718772,0.002492408,0.0002761996,0.000153446],"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":[0.00002799002,0.00007465464,0.06618192,0.00200515,0.0001427277,3.835161e-7,0.0005386051,0.00007288882,1.984123e-8,0.04070479,0.889244,0.001006894],"study_design_scores_gemma":[0.0002743443,0.0002262735,0.2021313,0.0001137852,0.00002694447,0.000006467241,0.007111196,0.0001008509,3.766612e-8,0.008510465,0.7812303,0.000268045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003332951,0.001717443,0.008669002,0.1151915,0.003579564,0.004574121,0.8622116,0.0000615371,0.0006622713],"genre_scores_gemma":[0.04613579,0.00111728,0.00259474,0.008187542,0.0003809465,0.0001910623,0.9413187,0.00003320455,0.00004073995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1359493,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6036057228136893,"score_gpt":0.5707533191766998,"score_spread":0.03285240363698949,"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."}}