{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004017106,0.0006094095,0.0006854639,0.0001705791,0.002172886,0.0008994383,0.0003265649,0.0003291342,0.02685171],"category_scores_gemma":[0.00007048358,0.0005901214,0.0004244278,0.00007987364,0.0004038718,0.0002101117,0.00005125231,0.0005571447,0.000231175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150237,"about_ca_system_score_gemma":0.0003078979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005862555,"about_ca_topic_score_gemma":0.05708623,"domain_scores_codex":[0.9974032,0.00008098035,0.0005263574,0.0007717597,0.0004225526,0.0007951338],"domain_scores_gemma":[0.9977214,0.0001357726,0.000575126,0.0003617464,0.0009631931,0.0002428067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009720988,0.001978501,0.008544969,0.003912167,0.00620595,0.00003734239,0.3405706,0.000056017,0.01519812,0.3451511,0.1792017,0.08942263],"study_design_scores_gemma":[0.004630557,0.002128414,0.06439247,0.002626511,0.00401249,0.00001090155,0.0928111,0.00604735,0.02571614,0.007019034,0.7863902,0.004214792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000835,0.001396617,0.002789738,0.001448198,0.007520878,0.002197768,0.003806828,0.0001260764,0.08063041],"genre_scores_gemma":[0.6703114,0.002639523,0.002826024,0.0002099127,0.01513116,0.0004411702,0.0006659797,0.0002823152,0.3074925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6071886,"threshold_uncertainty_score":0.999655,"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."}}