{"id":"W2786772129","doi":"10.5065/d6gh9gsz","title":"THORPEX Interactive Grand Global Ensemble (TIGGE) Model Tropical Cyclone Track Data","year":2008,"lang":"en","type":"dataset","venue":"","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tropical cyclone; Tropical cyclone forecast model; Meteorology; Track (disk drive); Climatology; Environmental science; China; Geography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001002157,0.000631533,0.0008694906,0.0001065419,0.000326247,0.0002451584,0.002726894,0.0006491953,0.007928491],"category_scores_gemma":[0.0002151931,0.000443791,0.0002292936,0.0003954213,0.0004441403,0.0006034013,0.0003722394,0.001429917,0.004140861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000030689,"about_ca_system_score_gemma":0.000327091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02670275,"about_ca_topic_score_gemma":0.1066072,"domain_scores_codex":[0.9952433,0.00025037,0.0006751959,0.001459952,0.001254114,0.00111703],"domain_scores_gemma":[0.9968407,0.0003333496,0.0001374925,0.001791266,0.00009651602,0.0008006404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000486885,0.0001534209,0.007202669,0.00006358931,0.00009257722,0.000321351,0.000005430835,0.0002443361,8.360145e-7,0.00001775083,0.9796064,0.01180475],"study_design_scores_gemma":[0.000784812,0.0003618718,0.0589306,0.00004167633,0.00008820042,0.0002132714,0.00001935826,0.02071941,0.000002551476,0.001551001,0.9165223,0.0007649894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004395729,0.0006718186,0.001414982,0.0005182471,0.0004547325,0.0004003671,0.9890402,0.0000892508,0.0030147],"genre_scores_gemma":[0.01349434,0.002501302,0.002555542,0.0004931251,0.0006881594,0.000003708596,0.9799201,0.000008697617,0.0003350629],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07990449,"threshold_uncertainty_score":0.9998014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06494924057700584,"score_gpt":0.3110918704729292,"score_spread":0.2461426298959233,"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."}}