{"id":"W7098639788","doi":"","title":"Verification of analysed and forecasted winter","year":2015,"lang":"en","type":"article","venue":"","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Snow; Numerical weather prediction; Quantitative precipitation estimation; Quantitative precipitation forecast; High resolution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001658498,0.0007394581,0.0004293378,0.0003960965,0.0003570123,0.0008623321,0.0007108387,0.000489358,0.001566728],"category_scores_gemma":[0.002815731,0.0002658057,0.0007459593,0.0004272277,0.0002804157,0.0006017854,0.000349362,0.0004391102,0.0005475393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00145143,"about_ca_system_score_gemma":0.001325214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04872803,"about_ca_topic_score_gemma":0.03462233,"domain_scores_codex":[0.9993271,0.000113715,0.00007146636,0.0002106772,0.000184121,0.0000928736],"domain_scores_gemma":[0.9983216,0.0004654316,0.0001791025,0.0003520981,0.0006106771,0.00007115757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005088972,0.0001632884,0.1264868,0.000151546,0.0002042388,0.0002566849,0.0002007041,0.8242242,0.02263108,0.0006347084,0.001609932,0.02292789],"study_design_scores_gemma":[0.00006013586,0.0001946418,0.06899113,0.00002057086,0.00004997501,0.00005464009,0.0001126799,0.899148,0.02887927,0.0004384921,0.002005374,0.00004505369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709266,0.00008037243,0.01723946,0.00006065157,0.00005559664,0.0000540734,0.007512408,0.001029979,0.003040944],"genre_scores_gemma":[0.9928275,0.00002705065,0.003552121,0.00001046951,0.000003670878,0.00002831803,0.003091207,0.00005784304,0.0004018484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04872803,"threshold_uncertainty_score":0.09688884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435678749961163,"score_gpt":0.2613815266900453,"score_spread":0.2370247391904337,"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."}}