{"id":"W2797642855","doi":"","title":"Calibration of an Instrumented Surgical Forceps Using Bootstrap Technique: a Comparative Study","year":2018,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Manitoba","funders":"","keywords":"Calibration; Forceps; Computer science; Medicine; Mathematics; Statistics; Surgery","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":[0.005652514,0.0001451039,0.0003027611,0.0003679366,0.0002816369,0.0003088664,0.0004915727,0.00006975325,0.0003816605],"category_scores_gemma":[0.0004921947,0.0001069834,0.0000610811,0.001332527,0.0003004181,0.001153619,0.00007851368,0.00008446531,0.00001360292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000553232,"about_ca_system_score_gemma":0.00009070545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004234249,"about_ca_topic_score_gemma":0.00004371695,"domain_scores_codex":[0.9962997,0.00009636235,0.000748862,0.0005393751,0.002105519,0.0002101646],"domain_scores_gemma":[0.9972119,0.00007933164,0.0004351755,0.0002139434,0.00195727,0.0001024119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001370363,0.002118579,0.2402781,0.00002830946,0.0001105068,0.000004336535,0.0557646,0.00008783524,0.6768627,0.005072101,0.005125868,0.01317669],"study_design_scores_gemma":[0.002769164,0.003654016,0.02029347,0.0001011243,0.0001006392,0.00003297188,0.06679747,0.4080488,0.4837058,0.01243424,0.001521404,0.0005409524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927816,0.000004988919,0.002075777,0.0000324386,0.0002314254,0.001011407,0.00000351108,0.00004990107,0.00380898],"genre_scores_gemma":[0.9979561,1.507385e-7,0.001652395,0.00001165298,0.0001361112,0.00003005073,0.000004172681,0.000006739352,0.00020263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.407961,"threshold_uncertainty_score":0.4362658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4987854903943985,"score_gpt":0.5006482514128935,"score_spread":0.001862761018494974,"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."}}