{"id":"W3031656702","doi":"","title":"A Novel Approach to Stratifying the Precipitation Time Series: A Precipitation Climatology for Montréal, Québec","year":2020,"lang":"en","type":"article","venue":"100th American Meteorological Society Annual Meeting","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Precipitation; Climatology; Series (stratigraphy); Meteorology; Environmental science; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013617,0.0002428576,0.0003897968,0.000008242388,0.0005476764,0.00005899253,0.0003827377,0.0001165432,0.0001005066],"category_scores_gemma":[0.001462439,0.000173401,0.000243835,0.0004947418,0.0005623749,0.0002792585,0.0002815062,0.000241956,0.00009006258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500495,"about_ca_system_score_gemma":0.00003296916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004219432,"about_ca_topic_score_gemma":0.0003200337,"domain_scores_codex":[0.9977673,0.0002185625,0.0004545165,0.0007102098,0.0003046225,0.0005448275],"domain_scores_gemma":[0.998243,0.001019284,0.0002579803,0.0002017841,0.00004571554,0.0002322166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002368475,0.001477731,0.01472759,0.0002635186,0.0003595671,0.00000153536,0.2406369,0.500913,0.1687232,0.002462853,0.02509226,0.04297337],"study_design_scores_gemma":[0.002219873,0.00714146,0.02173597,0.00004289117,0.0003574793,0.00003210355,0.1074203,0.8026963,0.0007539717,0.001678423,0.05410622,0.001814906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8108838,0.00005400853,0.1551998,0.02884153,0.00004666023,0.001920319,0.0001567181,0.0002382471,0.002658856],"genre_scores_gemma":[0.7336184,0.00002052258,0.2564364,0.009165947,0.0001062739,0.0005419345,0.00004161704,0.00002557559,0.00004332223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3017833,"threshold_uncertainty_score":0.7071086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568960148779664,"score_gpt":0.2503138112541122,"score_spread":0.2246242097663156,"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."}}