{"id":"W1889819234","doi":"10.1029/2010gl043995","title":"Summertime trans‐Pacific transport of Asian dust","year":2010,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Outflow; Lidar; Atmosphere (unit); Asian Dust; Storm; Geology; Mineral dust; Altitude (triangle); Anomaly (physics); Environmental science; Atmospheric sciences; Aeolian processes; Dust storm; Climatology; Oceanography; Meteorology; Aerosol; Geomorphology; Geography; Remote sensing","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":[0.0003674671,0.0001314504,0.0001881992,0.000004120603,0.0001476856,0.000014263,0.0004719647,0.00008019441,0.004051854],"category_scores_gemma":[0.00002854004,0.0001111995,0.0001325563,0.0004861141,0.001257927,0.0001345768,0.00006310525,0.0007811336,0.000761962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003413995,"about_ca_system_score_gemma":0.00001746344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108577,"about_ca_topic_score_gemma":0.0001105649,"domain_scores_codex":[0.9977081,0.00006866255,0.0001998868,0.0003672135,0.001009586,0.0006465411],"domain_scores_gemma":[0.999211,0.00008181261,0.00002970969,0.000410325,0.00001478874,0.0002524343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004628249,0.0001843607,0.02287173,0.000009768723,0.00001049758,0.00002440204,0.0005114198,0.0000165184,0.9586228,0.0002314054,0.006564086,0.01090671],"study_design_scores_gemma":[0.0005599157,0.0002443245,0.9277086,0.00001377197,0.00001387625,0.000003363157,0.00034217,0.0003463113,0.02546811,0.0006507759,0.04430073,0.0003480473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720182,0.000002254659,0.0002924468,0.007138829,0.00008036038,0.0001879912,0.00000712404,0.00002396875,0.02024877],"genre_scores_gemma":[0.997942,0.000003334816,0.0006555705,0.0002013707,0.0001102407,0.00002179558,0.000005114511,0.00002025198,0.00104031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331547,"threshold_uncertainty_score":0.9968586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688918677648758,"score_gpt":0.2730968929384584,"score_spread":0.2562077061619708,"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."}}