{"id":"W2971030416","doi":"10.1371/journal.pone.0207137","title":"Quantification of computational geometric congruence in surface-based registration for spinal intra-operative three-dimensional navigation","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Cadaveric spasm; Medicine; Lumbar; Congruence (geometry); Anatomy; Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002070038,0.000556755,0.0004194793,0.0009922014,0.0003331527,0.001439538,0.0007886615,0.0005894778,0.001066882],"category_scores_gemma":[0.01318185,0.0004036547,0.0005883208,0.0007937367,0.00100428,0.0007781854,0.001653131,0.0004922018,0.0003216756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007020677,"about_ca_system_score_gemma":0.001067961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198492,"about_ca_topic_score_gemma":0.002590789,"domain_scores_codex":[0.9981233,0.0005387565,0.0001199138,0.0001990761,0.000950131,0.00006879674],"domain_scores_gemma":[0.9957318,0.002247547,0.0007271841,0.0006454787,0.000556868,0.00009116543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006467043,0.000153037,0.04075616,0.0002682507,0.0001900494,0.0002389518,0.0007771799,0.6279536,0.06903794,0.009594462,0.0007681951,0.2496156],"study_design_scores_gemma":[0.00001621465,0.000277796,0.01569704,0.00002475423,0.00003949063,0.0004319591,0.0001279099,0.9591874,0.019496,0.003549689,0.001116904,0.00003482062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3486303,0.0001670591,0.6485563,0.0001241613,0.00002281578,0.0001085,0.0001083453,0.0005136315,0.001768865],"genre_scores_gemma":[0.8844691,0.00008300801,0.1148618,0.0000174475,0.000008894438,0.00005701244,0.0001322467,0.0001044546,0.0002660911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002198492,"threshold_uncertainty_score":0.01094753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05875102247990886,"score_gpt":0.3203492125138503,"score_spread":0.2615981900339414,"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."}}