{"id":"W4284958544","doi":"10.2196/31529","title":"Development of a Connected Sensor System in Colorectal Surgery: User-Centered Design Case Study","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commissariat à l'Énergie Atomique et aux Énergies Alternatives; Erasmus Medisch Centrum; European Commission","keywords":"Computer science; Medicine; Surgery; General surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678648,0.0001219681,0.0002278424,0.000200991,0.0001597916,0.00001446367,0.00009128478,0.00002394519,0.0000447587],"category_scores_gemma":[0.000005810915,0.0001313065,0.00003599813,0.0003092591,0.000009015223,0.00002293671,0.00004982094,0.0001155361,0.000002436773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639332,"about_ca_system_score_gemma":0.00003244374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006741126,"about_ca_topic_score_gemma":0.0001176205,"domain_scores_codex":[0.9991105,0.00006288625,0.0003616772,0.0001434481,0.000155302,0.0001662216],"domain_scores_gemma":[0.9996002,0.0001420362,0.00005544016,0.0001350025,0.00002122916,0.00004610751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006387702,0.003111148,0.6765549,0.0005068025,0.0005896232,0.002095943,0.1163086,0.1253704,0.07299323,0.0004395313,0.001412765,0.0005531909],"study_design_scores_gemma":[0.003401495,0.0003758731,0.658111,0.0001150918,0.00007709733,0.0003763522,0.285278,0.02295136,0.02619665,0.000006653242,0.001539423,0.001571053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984507,0.000005069765,0.0003809549,7.781847e-7,0.00008308997,0.0008584377,0.00001772505,0.0001838559,0.00001939023],"genre_scores_gemma":[0.9991743,7.164374e-8,0.0003006232,8.243726e-7,0.000006297365,0.0004589777,0.00002312274,0.00002753864,0.000008276085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1689693,"threshold_uncertainty_score":0.5354522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06502216627915329,"score_gpt":0.2752575797746165,"score_spread":0.2102354134954632,"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."}}