{"id":"W2593488268","doi":"10.1007/s00704-017-2088-7","title":"Application of physical scaling towards downscaling climate model precipitation data","year":2017,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Precipitation; Environmental science; Climatology; General Circulation Model; Climate model; Climate change; Meteorology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005753512,0.00013397,0.0003010433,0.0000144622,0.0002988578,0.00003398542,0.0005729243,0.0001101781,0.00007641558],"category_scores_gemma":[0.00008551279,0.0001114764,0.00003219968,0.00003097193,0.001827247,0.0001511989,0.001257395,0.0001263886,0.0000465893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001401537,"about_ca_system_score_gemma":0.000005857451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002300564,"about_ca_topic_score_gemma":0.000005245113,"domain_scores_codex":[0.9987478,0.00003205947,0.0002686193,0.0004960831,0.0001618491,0.0002935724],"domain_scores_gemma":[0.9986371,0.0001431529,0.0001606372,0.0009616205,0.000008114011,0.00008936715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001056818,0.000132066,0.002097589,0.00005043436,0.00000633351,2.32738e-7,0.0003461388,0.003113064,0.0199984,0.9610539,0.000005074487,0.0130911],"study_design_scores_gemma":[0.0002586555,0.00001742964,0.001741311,0.00000619058,0.00003762024,0.000002945728,0.00003749968,0.7059408,0.001845262,0.2899883,0.00001741827,0.0001064968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385429,0.000004114989,0.03661243,0.0005212867,0.00001976465,0.0002458822,0.00007045949,0.00003302481,0.02395013],"genre_scores_gemma":[0.9949061,0.0000327268,0.004874575,0.00006769494,0.0000231421,0.00002749348,0.00005539742,0.00001125762,0.000001606108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7028278,"threshold_uncertainty_score":0.6732569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334748199514611,"score_gpt":0.2959465631594145,"score_spread":0.2725990811642684,"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."}}