{"id":"W2280282551","doi":"10.1200/jco.2007.25.18_suppl.17031","title":"The Oncology Symptom Control and Information Resource (OSCIR): Using information technology to improve the management of cancer treatment-related side effects","year":2007,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Documentation; Workgroup; Mucositis; Common Terminology Criteria for Adverse Events; Adverse effect; Radiation therapy; Internal medicine; Computer science","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":[0.008676162,0.0004941372,0.0003593255,0.002202395,0.0004655913,0.001457441,0.0009915314,0.0004826997,0.005860514],"category_scores_gemma":[0.02076516,0.0002788332,0.0005856245,0.001773564,0.000509661,0.001567763,0.001875423,0.000578378,0.002095687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008777108,"about_ca_system_score_gemma":0.003868336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762772,"about_ca_topic_score_gemma":0.003490665,"domain_scores_codex":[0.9965217,0.001855624,0.0004955246,0.0001370743,0.0008520908,0.0001379794],"domain_scores_gemma":[0.9878355,0.007328326,0.0009842868,0.0007240324,0.002110359,0.001017546],"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":[0.0005266201,0.0007750809,0.025194,0.001806271,0.00005589952,0.0002528614,0.001435241,0.001586913,0.004385154,0.001623129,0.05082649,0.9115323],"study_design_scores_gemma":[0.00143675,0.00694627,0.2620764,0.003706098,0.0005794745,0.004879295,0.002562801,0.02977498,0.03137701,0.005038601,0.6512434,0.0003789776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4094699,0.005953798,0.2487308,0.01259727,0.0006206213,0.02922529,0.01317798,0.04028717,0.2399372],"genre_scores_gemma":[0.3613457,0.003972905,0.5922481,0.001679117,0.0003121657,0.008013405,0.01140003,0.001133194,0.01989534],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008676162,"threshold_uncertainty_score":0.04588443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517999940861822,"score_gpt":0.4529141595904712,"score_spread":0.427734160181853,"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."}}