{"id":"W4221100166","doi":"10.2196/34920","title":"Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Health care; Computer science; Knowledge management; Scope (computer science); Management science; Logic model; Process management; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01355488,0.0001547413,0.0003609587,0.001113565,0.0007919543,0.00009695913,0.0004398193,0.0001004728,0.0006632437],"category_scores_gemma":[0.00150316,0.0001526735,0.00009432204,0.00271711,0.0002896217,0.0002722828,0.0002969613,0.001604529,0.00001822256],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799347,"about_ca_system_score_gemma":0.006778997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808192,"about_ca_topic_score_gemma":0.0007125176,"domain_scores_codex":[0.9917812,0.002459297,0.001496955,0.0006488992,0.002338507,0.001275163],"domain_scores_gemma":[0.9945331,0.001190238,0.0003205499,0.0005511584,0.003119732,0.0002851975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007018005,0.003706205,0.003647854,0.008295041,0.00001234166,0.00001514956,0.03234556,0.00002647324,0.0002733219,0.005290546,0.004289492,0.93508],"study_design_scores_gemma":[0.0005066849,0.03211224,0.0003848269,0.001407561,0.000001663738,0.00001996963,0.3628885,0.0005913023,0.02433822,0.006191251,0.571369,0.0001888273],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0008518047,0.000006177952,0.0001684084,0.01202822,0.0000157629,0.9864585,0.00002755914,0.00005053735,0.0003930755],"genre_scores_gemma":[0.03175639,7.879381e-7,0.004240216,0.0001136538,0.0002550033,0.9634752,0.00006051625,0.00004065257,0.00005761078],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9348912,"threshold_uncertainty_score":0.9988517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7736989386827406,"score_gpt":0.7690641976653152,"score_spread":0.004634741017425448,"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."}}