{"id":"W2593118957","doi":"10.1155/2017/1837475","title":"Variations of Surveillance Practice for Patients with Bone Sarcoma: A Survey of Australian Sarcoma Clinicians","year":2017,"lang":"en","type":"article","venue":"Sarcoma","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Algorithm; Medicine; Sarcoma; Context (archaeology); Database; Machine learning; Artificial intelligence; Computer science; Pathology; Geology","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":[0.002698621,0.0001207914,0.0002724355,0.00121195,0.0009955458,0.0009912249,0.0007141686,0.0007037165,0.001548044],"category_scores_gemma":[0.01403913,0.0004432804,0.0002054672,0.002440117,0.0007517668,0.0009913278,0.001478843,0.0007716009,0.0002785449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002353465,"about_ca_system_score_gemma":0.002374296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07639895,"about_ca_topic_score_gemma":0.07787608,"domain_scores_codex":[0.9967014,0.001138742,0.0005551288,0.0004118503,0.0008937743,0.0002990775],"domain_scores_gemma":[0.9865943,0.003396454,0.005872434,0.0003402041,0.001845785,0.001950762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004227547,0.00005977505,0.9664181,0.0001582731,0.00002018718,0.0003427396,0.02270692,0.00005365196,0.0002968751,0.00009138419,0.0009097859,0.008900098],"study_design_scores_gemma":[0.000006597461,0.0001263392,0.9819373,0.00009941403,0.000008041481,0.0004863492,0.01535562,0.0002304692,0.00005097965,0.0000474154,0.001641249,0.00001011336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969956,0.0003432562,0.00007250149,0.001304926,0.000006896714,0.00003480896,0.00016433,0.000003669075,0.001074107],"genre_scores_gemma":[0.998434,0.0004953044,0.0001964132,0.0005328511,0.000005563068,0.00004656363,0.00008291963,0.000002454919,0.0002039258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07639895,"threshold_uncertainty_score":0.1519086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04778994015840581,"score_gpt":0.3658906531702576,"score_spread":0.3181007130118518,"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."}}