{"id":"W2045881166","doi":"10.5737/1181912x244241247","title":"Using a web-based decision support intervention to facilitate patient-physician communication at prostate cancer treatment discussions","year":2014,"lang":"en","type":"article","venue":"Canadian Oncology Nursing Journal","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Intervention (counseling); Prostate cancer; Web application; Decision support system; Medicine; Oncology; Medical education; Cancer; Nursing; Computer science; Internal medicine; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003977658,0.0006739997,0.0005129926,0.0008620412,0.0008487636,0.0009935597,0.0009875036,0.0009894888,0.01695732],"category_scores_gemma":[0.02067649,0.0003214942,0.000507216,0.0004852074,0.0002832143,0.001211266,0.001710641,0.001233719,0.001709571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005337676,"about_ca_system_score_gemma":0.001225181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003681175,"about_ca_topic_score_gemma":0.0006163651,"domain_scores_codex":[0.9969745,0.002000684,0.0002610916,0.0002510905,0.0002676954,0.0002450133],"domain_scores_gemma":[0.9827216,0.01277807,0.001291494,0.0003591993,0.0003812862,0.002468279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008915449,0.07175147,0.03808927,0.001668582,0.00014981,0.0006690152,0.01197017,0.001574505,0.003688112,0.0006604962,0.02717192,0.8336912],"study_design_scores_gemma":[0.08370994,0.1590033,0.4787116,0.003834069,0.001574622,0.002829832,0.03858349,0.04666618,0.02727702,0.008173609,0.1486915,0.0009447566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979493,0.0001505641,0.004080023,0.002786875,0.0001823381,0.003631808,0.000481502,0.0008191101,0.008374671],"genre_scores_gemma":[0.9335729,0.0003846402,0.05001639,0.001686221,0.0002798824,0.009395311,0.0006220101,0.00004188592,0.004000718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695732,"threshold_uncertainty_score":0.05672789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2292172165334662,"score_gpt":0.4634742171446674,"score_spread":0.2342570006112011,"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."}}