{"id":"W2096947098","doi":"10.1175/2009waf2222257.1","title":"New Developments of the Intensity-Scale Technique within the Spatial Verification Methods Intercomparison Project","year":2009,"lang":"en","type":"article","venue":"Weather and Forecasting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Scale (ratio); Bootstrapping (finance); Intensity (physics); Precipitation; Forecast verification; Forecast skill; Storm; Environmental science; Statistics; Weather Research and Forecasting Model; Meteorology; Computer science; Econometrics; Mathematics; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000615699,0.00006709745,0.0001084778,0.00002262084,0.0001625774,0.00002195004,0.0001314453,0.00003587523,0.00005021101],"category_scores_gemma":[0.000107387,0.00003170971,0.00002598422,0.0001533086,0.00004370028,0.00004588556,0.00001220408,0.0001112751,0.000001226977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002121223,"about_ca_system_score_gemma":0.00002651935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007631125,"about_ca_topic_score_gemma":0.0002635724,"domain_scores_codex":[0.9993783,0.0001174034,0.0002152776,0.0001137003,0.00008290438,0.00009242164],"domain_scores_gemma":[0.9996184,0.0001104321,0.0001135138,0.0001048258,0.00002819551,0.00002461193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006342273,0.00001146504,0.3144979,0.000005756867,0.00001146714,1.724695e-7,0.003102323,0.0009258032,0.002163965,0.000219232,0.00005687463,0.6789417],"study_design_scores_gemma":[0.0001141561,0.0001121316,0.9515897,0.00002460929,0.00001328416,0.000007710387,0.0002736737,0.03824865,0.002358834,0.006647158,0.0005276708,0.00008239238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.76858,0.0001480189,0.2111972,0.0003258942,0.0002074164,0.0006089583,0.000005053801,0.0000314695,0.01889603],"genre_scores_gemma":[0.9365619,0.000001393859,0.06317797,0.0001145699,0.00003192305,9.893929e-7,0.000003837675,0.000001112658,0.0001062752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6788592,"threshold_uncertainty_score":0.1293084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06380846997820007,"score_gpt":0.2907315670378814,"score_spread":0.2269230970596814,"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."}}