{"id":"W4232229212","doi":"10.1175/0065-9401-33.55.241","title":"The Application of Fred Sanders' Teaching to Current Research on Extreme Cold-Season Precipitation Events in the Saint Lawrence River Valley Region","year":2008,"lang":"en","type":"article","venue":"Meteorological Monographs","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Precipitation; Precipitable water; Climatology; SAINT; Anomaly (physics); Current (fluid); Meteorology; Environmental science; Geology; Oceanography; History; Geography","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":[0.003319193,0.0001112966,0.0001306723,0.00007085651,0.0004838154,0.000011137,0.0005385946,0.00008111836,0.00001307552],"category_scores_gemma":[0.0004053519,0.00006257076,0.00007908911,0.0005390315,0.0004162446,0.0000825379,0.0001557848,0.0004243171,0.00003158465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367335,"about_ca_system_score_gemma":0.000006098552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006347993,"about_ca_topic_score_gemma":0.0002394323,"domain_scores_codex":[0.9970351,0.001328642,0.0002788932,0.0003869107,0.0006425038,0.0003279467],"domain_scores_gemma":[0.9981873,0.001203325,0.0000790711,0.0004413436,0.00002147085,0.00006747538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001160301,0.002803421,0.8037757,0.00002585717,0.00002268679,0.000005942513,0.01879608,0.02374096,0.008240314,0.05477629,0.002453585,0.0841989],"study_design_scores_gemma":[0.0003744306,0.0006586314,0.9511244,0.00002535498,0.00000771618,0.000002124892,0.0004243003,0.00706529,0.0001525996,0.03314621,0.006877386,0.0001415357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990115,0.00006042631,0.007028042,0.001140873,0.00004300713,0.001034559,0.000002359686,0.0000177547,0.0005579308],"genre_scores_gemma":[0.9987222,0.0001905271,0.0006142787,0.0001328833,0.00001288291,0.0003096152,0.000004775174,0.000004585677,0.000008271332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1473488,"threshold_uncertainty_score":0.3721166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1502152882622446,"score_gpt":0.3463319635458574,"score_spread":0.1961166752836128,"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."}}