{"id":"W2423965850","doi":"10.3389/fonc.2016.00149","title":"Big Data Analytics for Prostate Radiotherapy","year":2016,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Computer science; Radiation therapy; Big data; Prostate cancer; Medical physics; Medicine; Data science; Data mining; Cancer; Internal 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":[0.002019565,0.001104868,0.001409281,0.00332462,0.0003911522,0.002351742,0.001513269,0.001364557,0.003458615],"category_scores_gemma":[0.004625532,0.0003610592,0.001458121,0.006315358,0.0006519454,0.003145303,0.001646249,0.002299645,0.001854046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064442,"about_ca_system_score_gemma":0.002367895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872173,"about_ca_topic_score_gemma":0.001709471,"domain_scores_codex":[0.998984,0.0002789237,0.0001142495,0.0001431237,0.0004310193,0.00004871454],"domain_scores_gemma":[0.9971872,0.001825472,0.0002205221,0.000168191,0.0005087649,0.00008981785],"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":[0.00004963788,0.00005036631,0.001061484,0.01193467,0.0002995538,0.0001624622,0.0001530282,0.004311459,0.0008491158,0.03710876,0.05936984,0.8846498],"study_design_scores_gemma":[0.00001542449,0.00005865935,0.002302367,0.007737605,0.0001729456,0.0006290161,0.0002008961,0.006335772,0.001183555,0.0634711,0.9178113,0.00008140169],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007469897,0.9606099,0.02486628,0.005323042,0.001175164,0.0001039599,0.001102792,0.0003821787,0.005689731],"genre_scores_gemma":[0.009505763,0.9632121,0.02070569,0.001333528,0.001372289,0.0001329302,0.001815929,0.00007461816,0.001847105],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003458615,"threshold_uncertainty_score":0.01157022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08956828952667914,"score_gpt":0.4215837132533063,"score_spread":0.3320154237266272,"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."}}