{"id":"W4412163859","doi":"10.1158/1557-3265.aimachine-ia01","title":"Abstract IA01: The impact of bringing complex data to the point of care","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Point of care; Intensive care medicine; Data science; Computer science; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0643943,0.0006631532,0.0007889821,0.004412637,0.003118469,0.01518049,0.002625526,0.00406626,0.05280918],"category_scores_gemma":[0.325405,0.0005441233,0.00166544,0.006403894,0.004014703,0.007605693,0.008678393,0.008851872,0.007281553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01221421,"about_ca_system_score_gemma":0.02211264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03703953,"about_ca_topic_score_gemma":0.03385041,"domain_scores_codex":[0.9376585,0.03984069,0.002470788,0.001869125,0.01671171,0.001449101],"domain_scores_gemma":[0.6175001,0.2716849,0.01235476,0.01752978,0.06342526,0.01750523],"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":[0.0002367703,0.00008906713,0.007426485,0.0008110949,0.00008869975,0.0001423643,0.0007146535,0.000813327,0.0001836193,0.03770475,0.7195179,0.2322713],"study_design_scores_gemma":[0.0001784703,0.0003296535,0.03012269,0.007335554,0.0002983752,0.0004646927,0.004957365,0.003100473,0.001150304,0.09340874,0.8584672,0.0001865767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004730259,0.01014363,0.003948414,0.9040545,0.01074616,0.0001157273,0.004431162,0.0005073533,0.06132272],"genre_scores_gemma":[0.4601607,0.0636673,0.05266551,0.3167611,0.03409787,0.000738999,0.01219851,0.001883515,0.05782657],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0643943,"threshold_uncertainty_score":0.3405536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9087592362411606,"score_gpt":0.7781554849029165,"score_spread":0.1306037513382441,"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."}}