{"id":"W2963774103","doi":"","title":"Optical Spectroscopy for Breast Cancer Risk Screening","year":2018,"lang":"","type":"dissertation","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Breast cancer; Spectroscopy; Medicine; Cancer; Oncology; Internal medicine; Physics","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":[0.001209334,0.0007930098,0.0006789464,0.001378072,0.000488909,0.001311926,0.0007899924,0.001528242,0.004184552],"category_scores_gemma":[0.002281461,0.0005748032,0.0009118593,0.001282566,0.0004469288,0.0007743525,0.0009567937,0.001141481,0.001817639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008253228,"about_ca_system_score_gemma":0.0006835372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209791,"about_ca_topic_score_gemma":0.001804239,"domain_scores_codex":[0.998847,0.0003113799,0.00003373818,0.0002172878,0.0005197502,0.00007085466],"domain_scores_gemma":[0.9989172,0.0005101538,0.0001354406,0.0001125544,0.0002798627,0.00004483995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006848886,0.000475018,0.01565841,0.002126661,0.0002374423,0.000338395,0.0003624979,0.007702407,0.3682666,0.00978064,0.01581107,0.5785559],"study_design_scores_gemma":[0.0002014752,0.002979014,0.03709292,0.001661942,0.0007298873,0.003841513,0.0008008847,0.1399382,0.5339846,0.01731868,0.2609007,0.000550121],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2360896,0.190199,0.4941294,0.007418949,0.00356251,0.001132127,0.002994737,0.00631716,0.0581565],"genre_scores_gemma":[0.5533479,0.04852299,0.3763137,0.002209213,0.0006993602,0.000621866,0.001176786,0.0003764186,0.0167318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004184552,"threshold_uncertainty_score":0.01399869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197639945454956,"score_gpt":0.354312999529042,"score_spread":0.3223366000744925,"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."}}