{"id":"W4246611877","doi":"10.1145/2070781.2024202","title":"Slices","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Computer science; Planar; Intersection (aeronautics); Set (abstract data type); Object (grammar); Artificial intelligence; Computer vision; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001178887,0.0000859068,0.00007049991,0.00006260129,0.0002319961,0.00001857913,0.0002265046,0.00005841688,0.004051365],"category_scores_gemma":[0.00000767913,0.0000651989,0.00007128633,0.0002681598,0.00005988365,0.000144113,3.703132e-7,0.0001616393,0.000395102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":7.681785e-7,"about_ca_system_score_gemma":0.000008282603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172069,"about_ca_topic_score_gemma":0.005165745,"domain_scores_codex":[0.9994296,0.00004287912,0.00009423828,0.0001464491,0.0001253825,0.000161429],"domain_scores_gemma":[0.999565,0.00006576293,0.00001978148,0.0002485911,0.00002077999,0.00008007853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001742738,0.0002204743,0.4360702,0.00003181044,0.0001299729,0.00003681505,0.003663729,0.0002793403,0.00004410938,0.0006460786,0.0005587458,0.5581445],"study_design_scores_gemma":[0.0001988135,0.0002956849,0.985182,0.00001558383,0.00002706855,0.00001552594,0.0004819051,0.0002801717,0.0006259648,0.006765472,0.005839831,0.0002719478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548021,0.000287741,0.005286936,0.0002896591,0.0008150362,0.0001386535,0.0001260848,0.0003016017,0.03795217],"genre_scores_gemma":[0.9971284,0.0001363719,0.001979538,0.0003666544,0.00001530067,0.000001048785,0.00001182253,0.000002392587,0.0003584446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5578725,"threshold_uncertainty_score":0.9968591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07015500290185923,"score_gpt":0.2230740618613463,"score_spread":0.1529190589594871,"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."}}