{"id":"W3007348959","doi":"10.3390/app10041370","title":"Spinal Cord Segmentation in Ultrasound Medical Imagery","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"Prince Sultan University","keywords":"Spinal cord; Laminectomy; Medicine; Segmentation; Cord; Decompression; Artificial intelligence; Surgery; Computer science","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":[0.000426114,0.0008749006,0.0005234725,0.002108813,0.0003018211,0.0008016416,0.000582942,0.001258247,0.001460749],"category_scores_gemma":[0.002019154,0.0002807779,0.0006739843,0.001190818,0.0004839976,0.0005774323,0.0004315741,0.0004153625,0.000695462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006916421,"about_ca_system_score_gemma":0.0005946686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009215106,"about_ca_topic_score_gemma":0.01553431,"domain_scores_codex":[0.9996808,0.00005282279,0.00002474121,0.000103906,0.00007725065,0.00006049726],"domain_scores_gemma":[0.9996495,0.0001401514,0.00006097252,0.00003781049,0.00007867655,0.00003283811],"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":[0.002089089,0.0004428044,0.01365304,0.001530695,0.0004432536,0.001441923,0.0003877311,0.2172361,0.1571411,0.001733253,0.008261374,0.5956396],"study_design_scores_gemma":[0.00006910411,0.000596953,0.03756377,0.0001784954,0.0001979357,0.002402498,0.0004182511,0.8326364,0.1145125,0.004093417,0.007270009,0.00006075208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7261478,0.006634559,0.2484288,0.001186291,0.0002596001,0.0005153562,0.005340348,0.005951879,0.005535309],"genre_scores_gemma":[0.8357689,0.001595103,0.1514829,0.0004159084,0.0001421673,0.0001094847,0.007766466,0.0002992598,0.002419703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009215106,"threshold_uncertainty_score":0.01832294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233861879141928,"score_gpt":0.2812859948886793,"score_spread":0.2578998069744865,"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."}}