{"id":"W2293635260","doi":"10.20382/jocg.v2i1a7","title":"Points with large quadrant depth","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadrant (abdomen); Mathematics; Geodesy; Geography; Medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001611716,0.0006340941,0.00130875,0.001757083,0.001077218,0.002541435,0.001037544,0.001491762,0.005868542],"category_scores_gemma":[0.00794163,0.0007651603,0.000700135,0.00190361,0.00205597,0.003327559,0.00479615,0.001272163,0.0007804757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009368218,"about_ca_system_score_gemma":0.0004352462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009595504,"about_ca_topic_score_gemma":0.0009056958,"domain_scores_codex":[0.9985966,0.0002631403,0.00009518265,0.0002502585,0.0003667531,0.0004279637],"domain_scores_gemma":[0.9973103,0.001083747,0.0004756521,0.0004741647,0.0003308461,0.0003252999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00180448,0.000184787,0.03844923,0.0007227145,0.000132423,0.002689421,0.001653165,0.1497455,0.0339659,0.6317956,0.006655153,0.1322016],"study_design_scores_gemma":[0.0002690658,0.000413775,0.01761015,0.0003503026,0.000107803,0.00286679,0.002195796,0.2209088,0.01605824,0.7176344,0.02142914,0.0001557478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755507,0.001116645,0.1045048,0.0007981724,0.00005402481,0.00005429863,0.0005944685,0.0002254912,0.01710131],"genre_scores_gemma":[0.9705245,0.0002988445,0.0246298,0.0001038987,0.00003151967,0.00005245121,0.0005698368,0.00006310265,0.003726117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005868542,"threshold_uncertainty_score":0.01963228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831967980117738,"score_gpt":0.2011631225846567,"score_spread":0.1828434427834793,"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."}}