{"id":"W3122361778","doi":"10.1016/j.jmig.2020.08.596","title":"Pre-Surgical Planning Using Patient-Specific 3D Printed Anatomical Models for Women with Uterine Fibroids","year":2020,"lang":"en","type":"article","venue":"Journal of Minimally Invasive Gynecology","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Surgical planning; Surgery; Uterine fibroids; General 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000469059,0.0004479231,0.0002557381,0.0005852507,0.0001763174,0.0007460926,0.0004564555,0.0007304535,0.004981735],"category_scores_gemma":[0.002795562,0.0006373321,0.0009100495,0.0002393943,0.0002224766,0.0004793189,0.0008440132,0.0005324876,0.0008360445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770626,"about_ca_system_score_gemma":0.0005212799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427465,"about_ca_topic_score_gemma":0.002574502,"domain_scores_codex":[0.9996232,0.0001307152,0.00002841574,0.00003187461,0.0001611328,0.000024686],"domain_scores_gemma":[0.9993675,0.0004036806,0.00005671353,0.00008808223,0.00005939623,0.00002455268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001300682,0.0004183947,0.03857047,0.001041518,0.0001358117,0.00559212,0.001577638,0.1272681,0.07353333,0.002261706,0.00726229,0.7410381],"study_design_scores_gemma":[0.000157629,0.002609919,0.09507581,0.0009573706,0.0005606962,0.03799964,0.002218252,0.669885,0.1141808,0.007807697,0.06798111,0.0005660517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5080105,0.005067736,0.4552796,0.001570087,0.0004272401,0.0006163383,0.001991481,0.002784939,0.02425203],"genre_scores_gemma":[0.8722126,0.002393581,0.1197709,0.0002210496,0.00005218659,0.0002506916,0.000689428,0.0002061999,0.004203284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004981735,"threshold_uncertainty_score":0.01666552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260631809397187,"score_gpt":0.2504025936447323,"score_spread":0.2277962755507605,"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."}}