{"id":"W2007704598","doi":"10.1029/2005eo410004","title":"Count‐a‐thon of airplane contrails","year":2005,"lang":"en","type":"article","venue":"Eos","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; National Aeronautics and Space Administration; Canadian Space Agency; National Science Foundation","keywords":"Globe; Meteorology; Airplane; Satellite; Cloud computing; Cloud cover; Environmental science; Sky; Geography; Computer science; Engineering; Psychology; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006031631,0.00005052151,0.00007500888,2.237637e-7,0.00002625851,0.000003665802,0.00009539642,0.00002899013,0.007455367],"category_scores_gemma":[0.00000601759,0.00004222358,0.00002274811,0.00004369376,0.00007815988,0.00005531649,0.00003077116,0.00003662861,0.0007440121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002956582,"about_ca_system_score_gemma":0.0000030516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001440416,"about_ca_topic_score_gemma":0.00009992051,"domain_scores_codex":[0.9995456,0.000007620899,0.00009639007,0.00009421518,0.0001385493,0.0001176258],"domain_scores_gemma":[0.9998048,0.0000125338,0.00002591847,0.0001151415,0.000001942168,0.00003964495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006321631,0.0003691317,0.3752742,0.00001504805,0.00002985789,0.00001535037,0.001801847,0.004485115,0.125098,0.001080407,0.11861,0.3731579],"study_design_scores_gemma":[0.0006099642,0.0001488593,0.3883137,0.0000120121,0.00001638353,0.00001243578,0.0001553312,0.002516987,0.02156935,0.0001620076,0.5862103,0.000272594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329894,0.00005652883,0.0006241965,0.0002561461,0.0000446963,0.00006532104,0.00000382573,0.00001751592,0.06594237],"genre_scores_gemma":[0.994672,0.000009777286,0.001985155,0.0002859422,0.00005037191,0.000002770703,0.000001279254,0.000004619668,0.002988072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4676004,"threshold_uncertainty_score":0.993452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004081746864179549,"score_gpt":0.198399243830968,"score_spread":0.1943174969667885,"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."}}