{"id":"W2411262239","doi":"","title":"Assessing software impact on clinical workflow and resource utilization.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Workflow; Usability; Capecitabine; Computer science; Software; Resource (disambiguation); Medicine; Colorectal cancer; World Wide Web; Cancer; Database; Internal medicine; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01652823,0.000596052,0.0004913656,0.002748491,0.0004853531,0.001170654,0.0005639548,0.0004984572,0.00146171],"category_scores_gemma":[0.09390073,0.000292809,0.0009238911,0.00150327,0.0004720474,0.0009106081,0.0007746267,0.0004795507,0.000263082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029161,"about_ca_system_score_gemma":0.001535727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00310507,"about_ca_topic_score_gemma":0.003158979,"domain_scores_codex":[0.9826332,0.01114165,0.001997293,0.0005864708,0.003155759,0.0004856662],"domain_scores_gemma":[0.8268645,0.1409228,0.0103352,0.003921585,0.01534348,0.002612558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008620791,0.008515235,0.6145051,0.002562172,0.001078142,0.0006550844,0.005245428,0.004101465,0.009921239,0.000294563,0.001222759,0.3432781],"study_design_scores_gemma":[0.0006417999,0.06470554,0.8958973,0.0004840288,0.0009422437,0.001112449,0.005965256,0.01455448,0.01160728,0.0004169789,0.003482598,0.0001900554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957303,0.0002522665,0.00209544,0.00006006163,0.00002336171,0.0003743967,0.0001010385,0.00006851285,0.001294573],"genre_scores_gemma":[0.990737,0.0001887175,0.007912021,0.00005938718,0.00001895469,0.0004283252,0.0002492718,0.00002032279,0.0003860393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01652823,"threshold_uncertainty_score":0.08741069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568732700846303,"score_gpt":0.4422220902907447,"score_spread":0.2853488202061145,"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."}}