{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002676236,0.0008022457,0.002042216,0.0009202329,0.0005461416,0.002087842,0.001719375,0.002259048,0.002502558],"category_scores_gemma":[0.01582745,0.002024436,0.0009671361,0.001301639,0.001180277,0.002650637,0.003083575,0.001629511,0.0009686249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000549542,"about_ca_system_score_gemma":0.001065768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003142761,"about_ca_topic_score_gemma":0.004031446,"domain_scores_codex":[0.9967833,0.001292393,0.0001527699,0.0004908542,0.001038006,0.0002425554],"domain_scores_gemma":[0.9906251,0.007386066,0.0005173784,0.0006229816,0.0006366935,0.0002117265],"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":[0.001290371,0.0001764257,0.004402701,0.0008346098,0.0002182553,0.0005971776,0.0006150228,0.3920428,0.069111,0.02471656,0.003099399,0.5028957],"study_design_scores_gemma":[0.0000354054,0.00006559432,0.002242908,0.00003220257,0.00002971946,0.0002710349,0.00004287291,0.9706038,0.01450283,0.01091585,0.001200276,0.00005758863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01659632,0.0003249235,0.9818221,0.0001546139,0.00002599587,0.0000197793,0.00006147788,0.0004858779,0.0005088964],"genre_scores_gemma":[0.4769516,0.0007834589,0.5169607,0.0003305253,0.0001271895,0.0001204011,0.000498258,0.0008021207,0.003425792],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003142761,"threshold_uncertainty_score":0.01415342,"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."}}