{"id":"W2548042932","doi":"10.12927/hcq.2016.24871","title":"In Conversation with Michael Green, President and CEO, Canada Health Infoway","year":2016,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandate; Leverage (statistics); Conversation; Health care; Management; Political science; Public administration; Sociology; Law; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069784,0.0001616979,0.0003330787,0.0001430955,0.0004205217,0.000005850073,0.00008965468,0.0001547461,0.0001279172],"category_scores_gemma":[0.0000584994,0.0001057458,0.00001154989,0.0001655276,0.00005079558,0.0003145072,0.00001360742,0.0004554795,0.00004943888],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044433,"about_ca_system_score_gemma":0.006224558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8886422,"about_ca_topic_score_gemma":0.9673837,"domain_scores_codex":[0.9970186,0.0005588036,0.0009494381,0.0002582716,0.0004451446,0.0007697863],"domain_scores_gemma":[0.9981096,0.0004430912,0.0004125662,0.0002509489,0.0001734803,0.0006102888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007736567,0.00005283424,0.3746757,0.01011553,0.00002424162,0.00004101311,0.1337668,8.67668e-7,0.00002021863,0.01473509,0.08685174,0.3789423],"study_design_scores_gemma":[0.007882073,0.003455885,0.7692344,0.005133012,0.00000845155,0.0000280267,0.03411628,0.0003011483,0.000007265045,0.001730544,0.1775062,0.0005967452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3875419,0.0004622244,0.001247117,0.6071833,0.0008925642,0.00195293,0.0000721815,0.000097495,0.0005503214],"genre_scores_gemma":[0.9677162,0.0001458531,0.0001541557,0.03087683,0.0002158074,0.0001527714,0.00001764455,0.00001667058,0.0007041354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5801743,"threshold_uncertainty_score":0.9994092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07120204524676756,"score_gpt":0.3744342499945775,"score_spread":0.30323220474781,"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."}}