{"id":"W1995054746","doi":"10.1118/1.2965931","title":"Poster - Thurs Eve-12: A needle-positioning robot co-registered with volumetric x-ray micro-computed tomography images for minimally-invasive small-animal interventions","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Fiducial marker; Imaging phantom; Computer vision; Artificial intelligence; Robot; Computer science; Image registration; Segmentation; Centroid; Robotic arm; Nuclear medicine; Medicine; Image (mathematics)","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":[0.001215129,0.0007071337,0.000442609,0.0007989815,0.0004263429,0.001216223,0.0009901843,0.001322408,0.03085402],"category_scores_gemma":[0.000949366,0.0005280172,0.0007166908,0.0002522887,0.0003717662,0.0007094814,0.001069484,0.001194525,0.01475132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103057,"about_ca_system_score_gemma":0.0007529329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004145901,"about_ca_topic_score_gemma":0.00081756,"domain_scores_codex":[0.9995117,0.00008167272,0.00003056422,0.0001125223,0.0002134847,0.00004995782],"domain_scores_gemma":[0.999551,0.00006311126,0.00004185622,0.00008447668,0.0001441647,0.0001153592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002686949,0.0006328209,0.003264553,0.0009100263,0.0001091334,0.001092471,0.0003319066,0.004991676,0.6473255,0.007235793,0.05016475,0.2812544],"study_design_scores_gemma":[0.0004120055,0.004289287,0.01705825,0.000225668,0.0001853804,0.003261885,0.0001188571,0.03168245,0.5988756,0.00245378,0.3411945,0.000242379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1833648,0.003814006,0.6617325,0.00317705,0.007605098,0.003003059,0.003383378,0.01683296,0.1170872],"genre_scores_gemma":[0.3057123,0.002007046,0.4644085,0.0007333702,0.001093252,0.001335782,0.004053262,0.002226374,0.2184302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03085402,"threshold_uncertainty_score":0.1032169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237475363038783,"score_gpt":0.2788427690439083,"score_spread":0.2564680154135205,"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."}}