{"id":"W3159137602","doi":"10.3354/cr01657","title":"Backward trajectory analysis of southern California atmospheric rivers","year":2021,"lang":"en","type":"article","venue":"Climate Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Landfall; Climatology; Environmental science; Storm; Orographic lift; Forcing (mathematics); Atmospheric sciences; Atmosphere (unit); Meteorology; Geography; Geology; Precipitation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002858366,0.0003707196,0.0002555428,0.0007057899,0.0004777543,0.000497556,0.0004008756,0.000332047,0.001684588],"category_scores_gemma":[0.0009641934,0.0002848936,0.0005891251,0.0006422582,0.000158958,0.0002376328,0.0003315778,0.0003521862,0.0002076422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108009,"about_ca_system_score_gemma":0.001258895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2602396,"about_ca_topic_score_gemma":0.2533085,"domain_scores_codex":[0.9999132,0.00001528143,0.000004963019,0.00003033331,0.00002181067,0.00001432113],"domain_scores_gemma":[0.99977,0.00007137806,0.00003557599,0.00002040599,0.00008257486,0.00001998702],"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":[0.00008114125,0.00006637231,0.1055558,0.00003810733,0.00008409537,0.0001734237,0.0001537531,0.8712513,0.0008763235,0.002394693,0.002692466,0.01663253],"study_design_scores_gemma":[0.00001279365,0.0000122352,0.01637973,0.000008651168,0.00001417787,0.00001407696,0.00007035366,0.9812642,0.0002283255,0.0004046404,0.001579634,0.00001117695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685009,0.0001618227,0.02122891,0.0002299339,0.00003542157,0.00005461898,0.003889026,0.0003691009,0.005530421],"genre_scores_gemma":[0.9733403,0.0001330637,0.01828148,0.00002349394,0.00000993001,0.00004076638,0.005342801,0.00006878648,0.00275932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2602396,"threshold_uncertainty_score":0.5174497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03460974490189075,"score_gpt":0.3273448374369808,"score_spread":0.2927350925350901,"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."}}