{"id":"W1565548452","doi":"10.1007/978-3-642-15705-9_16","title":"Measurement Selection in Untracked Freehand 3D Ultrasound","year":2010,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Decorrelation; Computer science; Speckle pattern; Computer vision; Artificial intelligence; Probabilistic logic; 3D ultrasound; Selection (genetic algorithm); Position (finance); Tracking (education); Ultrasound; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001383622,0.0002268127,0.0002080101,0.0004877535,0.0002050223,0.0006777494,0.001905127,0.0001198806,0.00001821065],"category_scores_gemma":[0.0003579934,0.00019799,0.00003398027,0.003218695,0.0002867069,0.001041547,0.0002628261,0.0006545381,0.00002311439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564632,"about_ca_system_score_gemma":0.000472347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052769,"about_ca_topic_score_gemma":0.002314691,"domain_scores_codex":[0.9971715,0.00004614857,0.0003359346,0.000917119,0.0008597777,0.0006695075],"domain_scores_gemma":[0.9988745,0.0001419377,0.0001007459,0.0005021131,0.0002423796,0.0001383098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009322838,0.0002585728,0.05008147,0.00004620857,0.000004531059,0.00003947721,0.001677855,0.01361207,0.1555824,0.004956596,0.00001259559,0.7737189],"study_design_scores_gemma":[0.0006416186,0.0001856766,0.1551825,0.0001353999,0.000002629847,0.000181867,6.637148e-7,0.7014056,0.08626322,0.05530957,0.0001029059,0.0005884143],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08843029,0.00004745486,0.909624,0.000640175,0.0009320157,0.0001747633,3.45867e-7,0.00008536929,0.00006553011],"genre_scores_gemma":[0.6989083,0.000003071567,0.3006227,0.0003441744,0.0001075461,0.00000907073,1.604576e-7,0.000004597062,4.220638e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7731305,"threshold_uncertainty_score":0.8073799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105776984011208,"score_gpt":0.2341848501677352,"score_spread":0.2231270803276231,"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."}}