{"id":"W2735003538","doi":"10.1503/cmaj.161268","title":"Spoon versus knife","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Autopsy Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scratch; Computer science; Medicine; Anatomy; Computer graphics (images); Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000948773,0.0000788306,0.0001933245,0.00008825119,0.0005664951,0.0001273899,0.0002242316,0.0003194521,0.007338972],"category_scores_gemma":[0.004042441,0.0000662618,0.0001154731,0.00003265124,0.00003885541,0.0001086624,0.00001759566,0.0007544294,0.0003015038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008693656,"about_ca_system_score_gemma":0.002061807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002549844,"about_ca_topic_score_gemma":0.01114845,"domain_scores_codex":[0.9984149,0.00002795393,0.0002278579,0.00009289174,0.0008902622,0.0003461799],"domain_scores_gemma":[0.997685,0.00005694033,0.0002271101,0.0002010954,0.0002036642,0.00162621],"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":[0.00006085283,0.00002590571,0.3814971,0.000009361588,0.0001743958,0.002552547,0.0001043509,9.43143e-8,0.000009422744,0.001731885,0.4408674,0.1729667],"study_design_scores_gemma":[0.001494841,0.00007393218,0.312942,0.00004743646,0.00003083362,0.0002836792,0.00004356718,0.00004256384,0.00002025299,0.0001119394,0.6848394,0.00006954693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3646242,0.0002432326,0.0002058054,0.3595739,0.005307381,0.0002537509,0.00001814669,0.0001044883,0.2696691],"genre_scores_gemma":[0.9758782,0.0001780503,0.0005302593,0.01126327,0.003116216,0.00000270252,0.000005068624,0.00001800268,0.009008214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.611254,"threshold_uncertainty_score":0.9935685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841959045595285,"score_gpt":0.3062594870378127,"score_spread":0.2878398965818599,"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."}}