{"id":"W2591339827","doi":"10.1200/jco.2012.30.34_suppl.319","title":"Use of iPad technology to determine cancer patient-reported preferences for and understanding of pharmacogenetic testing (PGT).","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Ontario Institute for Cancer Research; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Cancer; Malignancy; Internal medicine; Interim; Oncology; Breast cancer; Test (biology); Family medicine","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":[0.004528339,0.000392856,0.000353594,0.0009991175,0.0002779623,0.0007774123,0.000309116,0.0005105676,0.003351941],"category_scores_gemma":[0.01758866,0.0002298407,0.0009661125,0.000681548,0.0002797529,0.0006200334,0.0007370499,0.001070066,0.0007192539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004909697,"about_ca_system_score_gemma":0.0003616947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009703152,"about_ca_topic_score_gemma":0.000858065,"domain_scores_codex":[0.9974395,0.001481496,0.0003034576,0.0001497251,0.0004251398,0.0002007085],"domain_scores_gemma":[0.9821801,0.01032595,0.004934055,0.0005734615,0.001184933,0.000801424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009645437,0.001235081,0.9742226,0.00008513493,0.0001053222,0.00009110017,0.001505741,0.0003193502,0.000600238,0.00005208106,0.0008329967,0.0199857],"study_design_scores_gemma":[0.00009456103,0.004081933,0.9888926,0.00003026627,0.00007425947,0.0002587788,0.001768023,0.002382292,0.0007714936,0.00007109186,0.001545895,0.00002864512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996754,0.00004905948,0.0002862735,0.0001185651,0.00000791872,0.0003120962,0.0008060412,0.0000130959,0.00165281],"genre_scores_gemma":[0.9964352,0.00006784489,0.00124239,0.0001533124,0.00001141875,0.0007611642,0.0007085408,0.000003880577,0.0006163323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004528339,"threshold_uncertainty_score":0.02394843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5311195014013987,"score_gpt":0.5382484923085379,"score_spread":0.007128990907139143,"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."}}