{"id":"W2061015195","doi":"10.1097/00024665-200307000-00011","title":"Developing a Computerized Data Collection and Decision Support System for Cancer Pain Management","year":2003,"lang":"en","type":"article","venue":"CIN Computers Informatics Nursing","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; McGill University","keywords":"Business process reengineering; Decision support system; Data collection; Pain management; Process (computing); Cancer pain; Quality (philosophy); Medicine; Pain assessment; Process management; Computer science; Cancer; Operations management; Physical therapy; Business; Engineering; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001211234,0.0001680593,0.0002997643,0.0002543164,0.0002392782,0.000120073,0.0001690373,0.00005545723,0.000002644249],"category_scores_gemma":[0.00003742801,0.0001619181,0.00003655645,0.0002582675,0.00003631114,0.0002198967,0.00009688458,0.00007192883,0.000002460046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003576668,"about_ca_system_score_gemma":0.00007023801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000204585,"about_ca_topic_score_gemma":9.253025e-7,"domain_scores_codex":[0.9987772,0.00003809714,0.0004999897,0.0001888645,0.0002201433,0.0002757471],"domain_scores_gemma":[0.9990703,0.0002033015,0.0001587129,0.0004068085,0.00006849222,0.00009235024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002146547,0.00005903956,0.00144545,0.003893271,0.0002468208,0.00001314451,0.00226149,0.0003059914,0.000008738921,0.007534326,0.05531015,0.9287069],"study_design_scores_gemma":[0.004165102,0.000134794,0.00158418,0.004084775,0.0002049372,0.00002166788,0.002195501,0.9312971,0.00005572522,0.0003849827,0.05560743,0.0002637973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01048158,0.00008147066,0.9854176,0.0002076222,0.001161361,0.001176415,0.000004401362,0.000118256,0.001351288],"genre_scores_gemma":[0.034706,0.000121866,0.9638664,0.0009773992,0.00007325014,0.00003341128,0.000132275,0.00002027876,0.00006907832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9309911,"threshold_uncertainty_score":0.660283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04319984034727927,"score_gpt":0.3187181287489436,"score_spread":0.2755182884016644,"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."}}