{"id":"W7065370578","doi":"","title":"Double Periodic Non–Homogeneous Poisson Models for Hurricanes Data","year":2004,"lang":"en","type":"book","venue":"Spectrum Research Repository (Concordia University)","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Poisson distribution; Poisson regression; Intensity (physics); Quasi-likelihood; Maximum likelihood; Function (biology); Periodic function; Likelihood function; Poisson process","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":[],"consensus_categories":[],"category_scores_codex":[0.004633528,0.0006346557,0.0008024735,0.001652844,0.0005320832,0.002254228,0.003002733,0.001356876,0.00731083],"category_scores_gemma":[0.0142484,0.0005772997,0.001396764,0.002473278,0.0007197339,0.001928762,0.00114789,0.001943506,0.00239672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380919,"about_ca_system_score_gemma":0.0006881327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004326813,"about_ca_topic_score_gemma":0.006216828,"domain_scores_codex":[0.9984028,0.0007081021,0.00008838813,0.0003736359,0.0003354861,0.00009149842],"domain_scores_gemma":[0.9932635,0.004180463,0.0006823755,0.001261801,0.0004881585,0.0001236669],"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":[0.000139222,0.00009213897,0.01297518,0.0002864739,0.0001558936,0.0006167566,0.0006620922,0.1561149,0.001143777,0.637728,0.04955892,0.1405266],"study_design_scores_gemma":[0.00002689412,0.00005329664,0.006525985,0.00007790165,0.00004088438,0.0004592436,0.0001344406,0.7394132,0.0005375968,0.2240258,0.02864928,0.00005542185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07257769,0.002804095,0.8909702,0.003150227,0.0003931493,0.0002793794,0.007650227,0.001138819,0.02103627],"genre_scores_gemma":[0.6274841,0.004248967,0.2609972,0.000790049,0.0007931252,0.001018256,0.02356881,0.0006430408,0.08045641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00731083,"threshold_uncertainty_score":0.02450472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04549403404531755,"score_gpt":0.2630953306267385,"score_spread":0.217601296581421,"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."}}