{"id":"W3042807297","doi":"10.3747/co.27.6069","title":"At a Loss","year":2020,"lang":"en","type":"article","venue":"Current Oncology","topic":"History of Medical Practice","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Thyroid; Thyroid cancer; Bioinformatics; Computational biology; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001229901,0.0008183671,0.0008521467,0.0008118462,0.008501482,0.004027582,0.00147881,0.003824113,0.1191531],"category_scores_gemma":[0.009399332,0.0003990021,0.0009188849,0.0003102681,0.002405053,0.003773563,0.003037894,0.01238591,0.04286001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103294,"about_ca_system_score_gemma":0.003277715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009396437,"about_ca_topic_score_gemma":0.01459322,"domain_scores_codex":[0.9986952,0.0002625874,0.00004617044,0.0002028311,0.0003997775,0.0003933995],"domain_scores_gemma":[0.9971047,0.000225629,0.00009847522,0.0001807618,0.001022449,0.001368027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001898615,0.0002408751,0.004368197,0.00008279245,0.00004297313,0.01453771,0.002883036,0.00007413814,0.001179785,0.0209385,0.8847234,0.07073859],"study_design_scores_gemma":[0.00002110264,0.0002288141,0.002722683,0.0002922008,0.00002748193,0.02744217,0.004389607,0.0001442836,0.00037407,0.008365434,0.9559209,0.0000712418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02974959,0.01048739,0.005025274,0.5892182,0.06027912,0.0001999631,0.001028201,0.001225562,0.3027867],"genre_scores_gemma":[0.08063634,0.004919691,0.002448783,0.2166445,0.004503091,0.00006062028,0.0004365855,0.0003946539,0.6899558],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1191531,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2650101295790769,"score_gpt":0.4697258484277877,"score_spread":0.2047157188487108,"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."}}