{"id":"W2103440855","doi":"10.1117/12.467006","title":"<title>Workflow oriented hanging protocols for radiology workstation</title>","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Workflow; Workstation; Context (archaeology); Standardization; Zoom; Macro; Automation; Artificial intelligence; Human–computer interaction; Computer hardware; Programming language; Operating system; Database","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003613671,0.0007440904,0.0003252792,0.001653949,0.0007458317,0.002813936,0.001887403,0.001654429,0.2208907],"category_scores_gemma":[0.008295465,0.0004724179,0.0004381676,0.00237018,0.001008301,0.003644435,0.001635209,0.001201411,0.1418767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526626,"about_ca_system_score_gemma":0.001995003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447718,"about_ca_topic_score_gemma":0.003523923,"domain_scores_codex":[0.9981833,0.000654524,0.0002400608,0.0001834595,0.0006054792,0.0001332765],"domain_scores_gemma":[0.9927685,0.002366062,0.0004771982,0.001930776,0.00171357,0.0007439006],"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":[0.0001612314,0.00009092128,0.0005372544,0.000526953,0.000005076765,0.0003071892,0.0002023174,0.0007765988,0.01110457,0.01418873,0.5857826,0.3863165],"study_design_scores_gemma":[0.00004323189,0.0002522619,0.001533459,0.0002227586,0.000004824957,0.0006361277,0.0001238363,0.002408619,0.007240467,0.006513015,0.9809716,0.0000497106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00956969,0.003689818,0.508404,0.01309793,0.01240945,0.004458132,0.007360255,0.06143089,0.3795799],"genre_scores_gemma":[0.05590269,0.005742012,0.4222351,0.004517818,0.005042488,0.00192987,0.01279024,0.01777361,0.4740661],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7791092,"threshold_uncertainty_score":0.7389532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0447984795198146,"score_gpt":0.3022180458080912,"score_spread":0.2574195662882766,"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."}}