{"id":"W2806239202","doi":"","title":"Impact of resolution and downscaling technique in simulating Atlantic tropical cyclone activity with GEM-Climate","year":2010,"lang":"en","type":"article","venue":"29th Conference on Hurricanes and Tropical Meteorology (10-14 May 2010)","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Downscaling; Tropical cyclone; Climatology; Atlantic hurricane; Environmental science; Tropical Atlantic; Meteorology; Tropical cyclone scales; Climate change; Remote sensing; Cyclone (programming language); Oceanography; Geography; Geology; Precipitation; Computer science; Sea surface temperature","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001612883,0.0003155834,0.0006527947,0.0002041055,0.0001754437,0.00006663279,0.0002204848,0.0003568094,0.002201963],"category_scores_gemma":[0.0002565903,0.0002018917,0.00008630156,0.000278493,0.0008708761,0.0001607635,0.00006177989,0.0009425858,0.00002691242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009488669,"about_ca_system_score_gemma":0.00007139358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006646789,"about_ca_topic_score_gemma":0.008302168,"domain_scores_codex":[0.9976106,0.0002942818,0.0003895398,0.0006252467,0.0003265335,0.00075383],"domain_scores_gemma":[0.9984848,0.000626259,0.0001406312,0.0002858275,0.0000998935,0.0003625554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001728892,0.0001098661,0.9762395,0.00004965715,0.00002748022,0.00004324248,0.00002619625,0.0001268244,0.003567508,0.001936445,0.000006568396,0.01613784],"study_design_scores_gemma":[0.0009600221,0.00282695,0.9787837,0.00003657554,0.0000247414,0.00006038742,0.00001036397,0.0159413,0.00009860334,0.0009424564,0.00007656778,0.0002383221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979721,0.00004745948,0.0003538623,0.000534406,0.00006532275,0.0003496454,0.00003720067,0.00003889684,0.0006010474],"genre_scores_gemma":[0.998008,0.000113538,0.001687722,0.00002629611,0.00008166431,0.00001198262,0.00001660277,0.000008611512,0.00004565788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01589952,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482114569019677,"score_gpt":0.2856239055180309,"score_spread":0.2608027598278341,"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."}}