{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006735698,0.0001989919,0.000590355,0.0001313992,0.000218039,0.00003014129,0.0002664891,0.00008593757,0.00003036912],"category_scores_gemma":[0.003174573,0.0001579274,0.0001222862,0.0001692078,0.0002668992,0.0002371299,0.00008583364,0.0001714659,0.00001241615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004620938,"about_ca_system_score_gemma":0.000264495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993525,"about_ca_topic_score_gemma":0.001384691,"domain_scores_codex":[0.9979551,0.0002223277,0.0005144688,0.0003460377,0.0005503396,0.0004116897],"domain_scores_gemma":[0.9956702,0.001102232,0.000726985,0.001060262,0.001237502,0.0002028065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004927036,0.003847791,0.9842848,0.0001653731,0.0003964426,0.00004498305,0.00006534703,5.11495e-7,0.000346022,0.0001243522,0.00104464,0.004752766],"study_design_scores_gemma":[0.009720417,0.004476392,0.9831299,0.0001062865,0.0001077263,0.00001589398,0.00001908289,0.0000345796,0.0008623755,0.00006776061,0.001336026,0.0001235493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944298,0.00003946296,0.0001565175,0.001632043,0.0001052157,0.001374839,0.001060185,0.00002356934,0.001178343],"genre_scores_gemma":[0.9949423,0.00002280464,0.004037469,0.00004840879,0.00003426324,0.00004517801,0.0002301007,0.00003930503,0.0006001765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004793381,"threshold_uncertainty_score":0.6440091,"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."}}