{"id":"W4377234119","doi":"10.1200/edbk_389880","title":"Implementing Innovation: Informatics-Based Technologies to Improve Care Delivery and Clinical Research","year":2023,"lang":"en","type":"article","venue":"American Society of Clinical Oncology Educational Book","topic":"Cancer survivorship and care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Interoperability; Medicine; Clinical trial; Informatics; Leverage (statistics); Health care; Health informatics; Best practice; Nursing; Computer science; Political science; World Wide Web; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.004122058,0.0001166917,0.0006491252,0.0001934209,0.0001750472,0.00001150192,0.000180205,0.000222175,0.00008657586],"category_scores_gemma":[0.00262975,0.0001082065,0.0002629908,0.001555529,0.001864289,0.0000709715,0.0002941131,0.0006049653,0.00004519305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907644,"about_ca_system_score_gemma":0.00404733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002372942,"about_ca_topic_score_gemma":0.00009324527,"domain_scores_codex":[0.9971122,0.0001718493,0.001552292,0.0003100392,0.0004512003,0.0004024675],"domain_scores_gemma":[0.9919253,0.005484409,0.0004786462,0.000339857,0.001632319,0.0001394825],"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":[0.000187253,0.0002022987,0.2518269,0.000142934,0.0001365711,8.935768e-7,0.002191787,0.000001896804,0.00006489723,0.0008880722,0.08117483,0.6631816],"study_design_scores_gemma":[0.001273042,0.003288391,0.2404299,0.00007224888,0.00007018911,0.000001934924,0.09491661,0.0002258594,0.000127285,0.0003469048,0.6590997,0.0001479428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887999,0.0001985998,0.00008526957,0.1070984,0.0004553696,0.0005667684,0.00003036833,0.0001121156,0.003454121],"genre_scores_gemma":[0.9653257,0.0006955352,0.01403802,0.01720571,0.0005821941,0.0001699054,0.000152937,0.00001941344,0.001810545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6630337,"threshold_uncertainty_score":0.7179788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505521261343448,"score_gpt":0.5463792284950127,"score_spread":0.3958271023606679,"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."}}