{"id":"W2298217392","doi":"10.1175/mwr-d-15-0225.1","title":"An Information-Theoretical Score of Dichotomous Precipitation Forecast","year":2016,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Oceanic and Atmospheric Administration","keywords":"Precipitation; Climatology; Environmental science; Quantitative precipitation forecast; Meteorology; Econometrics; Mathematics; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007289402,0.0006453604,0.0005412484,0.002954815,0.0003000257,0.001763997,0.0006382822,0.0006356758,0.00264764],"category_scores_gemma":[0.04758382,0.0001321768,0.0004858576,0.001354982,0.00167255,0.002237933,0.001422749,0.0007258308,0.0003042331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042026,"about_ca_system_score_gemma":0.000722564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009417734,"about_ca_topic_score_gemma":0.000563915,"domain_scores_codex":[0.9955739,0.001791336,0.0003413912,0.0003694309,0.001709188,0.0002147816],"domain_scores_gemma":[0.9649261,0.0238441,0.004267829,0.001899005,0.004167462,0.0008956231],"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":[0.002103473,0.0004791168,0.2568405,0.000539504,0.0007260869,0.0004242065,0.0007332133,0.4186361,0.006745144,0.122023,0.004842313,0.1859073],"study_design_scores_gemma":[0.00009689536,0.001894176,0.1281112,0.0001206279,0.0001501678,0.0002173306,0.0006147241,0.7829695,0.00567446,0.07784038,0.002145534,0.0001650618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8420178,0.0002751609,0.1386182,0.0006752455,0.00009060406,0.0001048857,0.0009095143,0.0002232941,0.01708527],"genre_scores_gemma":[0.9948119,0.00003255924,0.00468032,0.00001330499,0.00002382326,0.0000145854,0.0002220687,0.000005430009,0.0001959245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007289402,"threshold_uncertainty_score":0.03855044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991741116509065,"score_gpt":0.2418113488469152,"score_spread":0.2218939376818246,"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."}}