{"id":"W1488772835","doi":"10.1016/j.jmva.2012.09.006","title":"Multidimensional<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si32.gif\" display=\"inline\" overflow=\"scroll\"><mml:mi>p</mml:mi><mml:mtext>–</mml:mtext><mml:mi>p</mml:mi></mml:math>plots and precedence tests for point processes on<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si33.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mi>ℜ</mml:mi></mml:mrow><mml:mrow><mml:mi>d</mml:mi></mml:mrow></mml:msup></mml:math>","year":2012,"lang":"lv","type":"article","venue":"Journal of Multivariate Analysis","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Mathematics; Plot (graphics); Statistics; Combinatorics; Applied mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00414619,0.001533434,0.001250208,0.003348377,0.0007154727,0.004860069,0.002553503,0.001768755,0.3600915],"category_scores_gemma":[0.03480274,0.001266752,0.001630304,0.004467245,0.0006915294,0.004934241,0.00287569,0.002816237,0.1661792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317628,"about_ca_system_score_gemma":0.001851888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005823448,"about_ca_topic_score_gemma":0.005466933,"domain_scores_codex":[0.997268,0.0008263632,0.000384795,0.0003778414,0.001009579,0.0001334705],"domain_scores_gemma":[0.9811184,0.01133115,0.0009359771,0.00345336,0.002786407,0.000374628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002504922,0.0001125295,0.001063591,0.0005321029,0.00005746317,0.0001474992,0.0002115764,0.002279382,0.001961519,0.03330889,0.8411614,0.1189135],"study_design_scores_gemma":[0.0002374712,0.00007097146,0.003125679,0.0002096445,0.000035374,0.0002463169,0.0001550754,0.01954514,0.008726909,0.04748308,0.9200469,0.0001173789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00305569,0.0003174472,0.5855502,0.002994483,0.001008629,0.0005508866,0.1630942,0.1556726,0.08775575],"genre_scores_gemma":[0.0420785,0.0009940657,0.56574,0.001684678,0.0005607688,0.002602638,0.1991292,0.09048667,0.09672345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3600915,"threshold_uncertainty_score":0.9127518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325864682346166,"score_gpt":0.3020858725972572,"score_spread":0.2694994043626406,"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."}}