{"id":"W1988965879","doi":"10.1175/2008jamc2054.1","title":"The Frequency and Characteristics of Lake-Effect Precipitation Events Associated with the New York State Finger Lakes","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Precipitation; Salt lake; Environmental science; Mesoscale meteorology; Climatology; Range (aeronautics); Hydrology (agriculture); Physical geography; Geology; Meteorology; Geography; Structural basin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007016691,0.0001073312,0.0003025612,0.00002633065,0.0003388387,0.000003522242,0.0001244809,0.00008058452,0.00002626253],"category_scores_gemma":[0.0000693368,0.00005276086,0.00002657411,0.00007041233,0.0008457247,0.00004816541,0.00006978537,0.0002027291,0.000003450415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000831988,"about_ca_system_score_gemma":0.000008946919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004139731,"about_ca_topic_score_gemma":0.0002143584,"domain_scores_codex":[0.9991528,0.0001628747,0.0002753852,0.0001109263,0.000102853,0.0001951642],"domain_scores_gemma":[0.9987152,0.0006935147,0.0004611523,0.00008038833,0.00001206765,0.00003773544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001333191,0.00006801365,0.9854519,0.00001528717,0.0005781176,0.00002791608,0.003770404,0.00006889203,0.001006831,0.001043427,0.002941526,0.003694546],"study_design_scores_gemma":[0.001301721,0.001048621,0.9873517,0.000008931209,0.0002275982,0.0001654499,0.0001388907,0.00002056946,0.0001973916,0.007037796,0.002404408,0.00009697113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996393,0.0001833866,0.0001116038,0.002455103,0.00009232072,0.0001384459,0.000002088665,0.000004090757,0.0006199212],"genre_scores_gemma":[0.9990081,0.0005190705,0.0001069894,0.0002325627,0.00001405412,0.000006699361,0.000001596039,0.000005021287,0.0001059349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005994369,"threshold_uncertainty_score":0.3116108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007805942533991835,"score_gpt":0.2040690436337021,"score_spread":0.1962631010997103,"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."}}