{"id":"W2241119407","doi":"10.1117/12.382251","title":"&lt;title&gt;Registration of 3D tracked ultrasonic spinal images to segmented CT images for technology-guided therapy&lt;/title&gt;","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Imaging phantom; Pixel; Computer vision; Artificial intelligence; Computer science; Image registration; Medicine; Nuclear medicine; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006714957,0.0005330581,0.0003728525,0.001780209,0.0003519132,0.001260663,0.0008190469,0.0007591408,0.03877169],"category_scores_gemma":[0.001601312,0.0002424826,0.0003443583,0.001475307,0.0004935469,0.000886864,0.0005097339,0.0004798069,0.01549261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007029427,"about_ca_system_score_gemma":0.0008104935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002697504,"about_ca_topic_score_gemma":0.004028248,"domain_scores_codex":[0.9995884,0.00004769894,0.00002776447,0.00005630846,0.0002498171,0.00003008337],"domain_scores_gemma":[0.9991986,0.0001417641,0.00009491362,0.0001677052,0.0003428689,0.00005423633],"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":[0.000829271,0.0001319619,0.001474789,0.0003840745,0.00002769572,0.0009544368,0.0001497522,0.006369898,0.301932,0.01123958,0.1283481,0.5481584],"study_design_scores_gemma":[0.00009190654,0.0006322152,0.01066881,0.0001076542,0.00002989126,0.001792013,0.0001544666,0.1103821,0.5211155,0.003883288,0.3510119,0.0001303539],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06126737,0.00190144,0.7583234,0.002532137,0.005272886,0.00134622,0.005864374,0.02367243,0.1398197],"genre_scores_gemma":[0.3046757,0.002256973,0.5056845,0.0006575243,0.0009488815,0.0005269659,0.01065696,0.004712058,0.1698805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03877169,"threshold_uncertainty_score":0.1297042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026942247629995,"score_gpt":0.2411388423932965,"score_spread":0.2308694199169966,"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."}}