{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003758525,0.0008755424,0.0008332315,0.001459947,0.00202273,0.007918495,0.001472096,0.0036192,0.1101711],"category_scores_gemma":[0.01377674,0.000505777,0.0006851305,0.001355836,0.002935408,0.0121832,0.003416919,0.006704607,0.06478105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697808,"about_ca_system_score_gemma":0.00121234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235426,"about_ca_topic_score_gemma":0.003667256,"domain_scores_codex":[0.9967645,0.0005752065,0.0001790588,0.0003359925,0.001898982,0.0002461894],"domain_scores_gemma":[0.9929025,0.001730217,0.00050084,0.0006291991,0.002325184,0.001912201],"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":[0.00004616789,0.0000225128,0.0001925296,0.0003043404,0.000007647835,0.0001573849,0.000381517,0.00004364082,0.0003554849,0.006001386,0.8293604,0.163127],"study_design_scores_gemma":[0.000006819481,0.00003528908,0.0003112064,0.0005419819,0.00000532626,0.0008172015,0.000809888,0.00003582491,0.0001866994,0.004416991,0.9928077,0.00002496614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003083482,0.1734516,0.01248179,0.4517466,0.1171369,0.00006260938,0.0006511118,0.002361453,0.2390244],"genre_scores_gemma":[0.03049205,0.1249214,0.008672593,0.2088551,0.03613856,0.0001068766,0.0006566847,0.002489488,0.5876672],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1101711,"threshold_uncertainty_score":0.3685591,"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."}}