{"id":"W2783114890","doi":"","title":"On the Planar Spherical Depth and Lens Depth.","year":2017,"lang":"en","type":"article","venue":"Canadian Conference on Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Planar; Lens (geology); Optics; Depth of field; Computer science; Physics; Computer graphics (images)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003011613,0.0002071578,0.0001649502,0.000277786,0.001358183,0.0009726275,0.0009913583,0.00008668445,0.0001042285],"category_scores_gemma":[0.0003595905,0.0001713992,0.00005336446,0.0002633313,0.0001634424,0.0003679354,0.00008406965,0.0002672471,0.0002253408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098968,"about_ca_system_score_gemma":0.0007396516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001942699,"about_ca_topic_score_gemma":0.0103479,"domain_scores_codex":[0.9984016,0.00007934232,0.0002041823,0.0005043012,0.0004525812,0.0003579618],"domain_scores_gemma":[0.9981393,0.0005729819,0.0001376377,0.000580591,0.0002124033,0.0003571424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007063607,0.00002254026,0.0009369586,0.000003774461,0.00002204503,0.00003310612,0.00006911867,0.007595807,0.00001042291,0.9494613,0.005342952,0.03649489],"study_design_scores_gemma":[0.000663562,0.0003429114,0.3594299,0.00007235185,0.00001107029,0.00008376634,0.00005075275,0.4050675,0.000101912,0.2189232,0.01463305,0.0006199228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2511467,0.0001352298,0.581516,0.06628684,0.001556479,0.0006604205,0.00008839725,0.0001536237,0.09845636],"genre_scores_gemma":[0.9867525,0.000009654549,0.007372824,0.005289587,0.0001330447,0.0000156833,0.0000308772,0.000009786072,0.0003860341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7356058,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594521687350084,"score_gpt":0.2681369403757105,"score_spread":0.2121917235022097,"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."}}