{"id":"W4403587847","doi":"10.1049/htl2.12114","title":"Virtual reality‐based preoperative planning for optimized trocar placement in thoracic surgery: A preliminary study","year":2024,"lang":"en","type":"preprint","venue":"Healthcare Technology Letters","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; Concordia University","funders":"","keywords":"Virtual reality; Cardiothoracic surgery; Visualization; Surgical planning; Medicine; Surgery; Computer science; Human–computer interaction; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005900388,0.0005507601,0.0003310665,0.000433219,0.0001225162,0.0006459031,0.0005760509,0.0006046572,0.004094606],"category_scores_gemma":[0.00248435,0.0002582518,0.000523326,0.0002572362,0.0002430571,0.0004257849,0.0005087039,0.000304597,0.0006005166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718281,"about_ca_system_score_gemma":0.0003670839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675042,"about_ca_topic_score_gemma":0.001141466,"domain_scores_codex":[0.9995549,0.0002086729,0.00002837105,0.00005786259,0.0001100039,0.00004015822],"domain_scores_gemma":[0.998517,0.0009768793,0.00005096939,0.000172524,0.0002206745,0.00006199695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00244104,0.00196036,0.01268252,0.001282128,0.0002576398,0.001575065,0.001440123,0.2114437,0.1660319,0.002008901,0.003928958,0.5949476],"study_design_scores_gemma":[0.0003119307,0.007757537,0.02460546,0.0001288042,0.0002214985,0.002398065,0.0007802175,0.8495542,0.09791421,0.001196707,0.01494061,0.0001907612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5655972,0.001489427,0.4245023,0.0003099607,0.0001328147,0.0005917068,0.0005520585,0.001585037,0.005239383],"genre_scores_gemma":[0.8452456,0.0008423618,0.1515352,0.00009162757,0.00004487267,0.0001716638,0.0004590892,0.0001332106,0.001476399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004094606,"threshold_uncertainty_score":0.0136978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06035110317333413,"score_gpt":0.3986467769188193,"score_spread":0.3382956737454851,"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."}}