{"id":"W2124724811","doi":"10.2217/bmt.13.58","title":"Personalization of breast cancer chemotherapy using noninvasive imaging methods to detect tumor cell death responses","year":2013,"lang":"en","type":"article","venue":"Breast Cancer Management","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Sunnybrook Research Institute","keywords":"Medicine; Breast cancer; Chemotherapy; Oncology; Personalization; Internal medicine; Cancer; Pathology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004451517,0.0004056646,0.0006728586,0.00069755,0.0008307172,0.00116354,0.001020539,0.004574096,0.01432812],"category_scores_gemma":[0.04068195,0.0002104341,0.0006925144,0.000730771,0.0009510144,0.001185824,0.0007097844,0.005604171,0.003821722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002833985,"about_ca_system_score_gemma":0.00199436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004560032,"about_ca_topic_score_gemma":0.01242654,"domain_scores_codex":[0.9967428,0.001633489,0.0002542186,0.0002690481,0.0009520172,0.0001483994],"domain_scores_gemma":[0.972615,0.01878815,0.0009509777,0.0008899618,0.005886619,0.0008692378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002921597,0.00004410355,0.001454829,0.0009461494,0.0000626851,0.0004192921,0.0001920946,0.0001697946,0.0004152372,0.001595945,0.8847018,0.109706],"study_design_scores_gemma":[0.0001274904,0.0001647124,0.003091497,0.0025807,0.0001041335,0.0009521477,0.0002334986,0.0002382311,0.001012884,0.002659175,0.9887849,0.00005052405],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005153643,0.1006138,0.002487152,0.7729385,0.08063983,0.0002352567,0.0009980997,0.0002242667,0.03670944],"genre_scores_gemma":[0.07992808,0.1212417,0.003675742,0.5542956,0.2039057,0.0005410273,0.0007835079,0.0002133119,0.03541538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01432812,"threshold_uncertainty_score":0.04793233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837549997818094,"score_gpt":0.3660668164625409,"score_spread":0.34769131648436,"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."}}