{"id":"W2913105986","doi":"10.1007/s11263-008-0164-2","title":"Confocal Stereo","year":2008,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer vision; Artificial intelligence; Focus (optics); Aperture (computer memory); Computer science; Pixel; Lens (geology); Radiance; Optics; Confocal; Physics","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":[0.0002233744,0.0005751048,0.0003730979,0.001453468,0.0006031515,0.00102425,0.0006989887,0.0008211492,0.04933619],"category_scores_gemma":[0.0004954757,0.0005465642,0.0003592228,0.0008252881,0.0003414378,0.001014372,0.001339645,0.0008107488,0.01576813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818268,"about_ca_system_score_gemma":0.001164474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444812,"about_ca_topic_score_gemma":0.003767595,"domain_scores_codex":[0.9996258,0.00002163088,0.00001222721,0.0001044906,0.0001841409,0.0000516127],"domain_scores_gemma":[0.9996182,0.00002573303,0.00002715594,0.0001559264,0.0001375967,0.00003533126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000203648,0.00008102155,0.001413279,0.0002489972,0.00003833638,0.0002820333,0.0001263278,0.003582046,0.5224046,0.06750655,0.0327261,0.371387],"study_design_scores_gemma":[0.00005744222,0.0001866813,0.008131434,0.0001038363,0.00005244629,0.005920821,0.0001943388,0.07291664,0.5335106,0.01593005,0.3628773,0.0001183509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02962247,0.000555708,0.7631149,0.0004019256,0.0002018834,0.0002612159,0.002172856,0.004495362,0.1991738],"genre_scores_gemma":[0.2752324,0.001032773,0.6182489,0.0004512244,0.0001134116,0.0002517651,0.00377367,0.001191409,0.09970447],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04933619,"threshold_uncertainty_score":0.165046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213226992382694,"score_gpt":0.2790000625560536,"score_spread":0.2668677926322267,"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."}}