{"id":"W309598375","doi":"10.5114/wiitm.2011.33812","title":"Robotic surgery - a taste of Hollywood?","year":2013,"lang":"en","type":"letter","venue":"Videosurgery and Other Miniinvasive Techniques","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hollywood; Taste; Medicine; Art history; History; Psychology; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001956589,0.0004513224,0.0008625543,0.00044679,0.00004809017,0.00005488533,0.0001997098,0.0007116607,0.000158192],"category_scores_gemma":[0.00005304272,0.0004328865,0.0002635092,0.0002500581,0.0001828253,0.0000925159,0.00005141679,0.0006064459,0.00003232047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002738701,"about_ca_system_score_gemma":0.00004774416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006830941,"about_ca_topic_score_gemma":0.000003539323,"domain_scores_codex":[0.9983515,0.00004809646,0.0006373709,0.0003599358,0.0002074278,0.000395646],"domain_scores_gemma":[0.9979702,0.001097359,0.0002134461,0.0005605643,0.00008760098,0.00007083784],"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":[9.380273e-7,0.0000137326,0.0005829495,0.0005792787,0.0001187619,0.0000251489,0.00004191667,0.00001473101,0.001602186,0.00005707842,0.9937277,0.003235565],"study_design_scores_gemma":[0.00003365606,0.000020575,0.0002074776,0.0006950129,0.0001011872,0.00004161961,0.00001222699,0.00009752679,0.0173684,0.001020634,0.9797407,0.0006609889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07163152,0.05503249,0.1209783,0.5306939,0.009013437,0.01989136,0.004265755,0.03061428,0.157879],"genre_scores_gemma":[0.1205881,0.00979747,0.03737096,0.8031399,0.01045945,0.005121754,0.0008955347,0.00256527,0.01006148],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.272446,"threshold_uncertainty_score":0.9998123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577428572435936,"score_gpt":0.2155665931006117,"score_spread":0.1897923073762524,"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."}}