{"id":"W4247618195","doi":"10.32920/ryerson.14652666.v1","title":"Thermal Dose Based Monitoring of Laser Interstitial Thermal Therapy for Prostate Cancer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Prostate cancer; Medicine; Consistency (knowledge bases); Cancer; Oncology; Urology; Materials science; Internal medicine; Computer science; Artificial intelligence","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":[0.0003954387,0.0002190862,0.0002822041,0.0004375621,0.0001222255,0.00030471,0.0003811087,0.000379284,0.001160717],"category_scores_gemma":[0.001057629,0.0001619168,0.0002172521,0.0003853706,0.0002031029,0.0002978525,0.0002503321,0.0003152445,0.0002688535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470164,"about_ca_system_score_gemma":0.0001970636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009909548,"about_ca_topic_score_gemma":0.001028555,"domain_scores_codex":[0.9996465,0.00008071354,0.00001181879,0.00006330887,0.0001689976,0.00002860044],"domain_scores_gemma":[0.9996489,0.0001569583,0.00007350688,0.00004702538,0.00006197396,0.00001158781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001657529,0.0001778403,0.02385877,0.0002808106,0.00006687836,0.00007714511,0.0001757925,0.06122332,0.8489655,0.000533014,0.0005260766,0.06245728],"study_design_scores_gemma":[0.00004227864,0.001001306,0.07979429,0.00001644916,0.00006341487,0.000259693,0.00006782098,0.2246696,0.6920509,0.0005027457,0.001472224,0.00005930289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064061,0.002720209,0.08436596,0.00009380671,0.00003758939,0.0001169512,0.0007802169,0.0009245455,0.004554619],"genre_scores_gemma":[0.9902933,0.0002072651,0.008562017,0.00002050044,0.000005394695,0.00003643867,0.0001669903,0.00003939189,0.0006686292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001160717,"threshold_uncertainty_score":0.003882945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224821745856929,"score_gpt":0.3647028202614586,"score_spread":0.3422206456757657,"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."}}