{"id":"W2111721033","doi":"10.1029/2010gl043975","title":"Efficient formation of stratospheric aerosol for climate engineering by emission of condensible vapor from aircraft","year":2010,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Dalhousie University","funders":"","keywords":"Atmospheric sciences; Aerosol; Environmental science; Astrobiology; Water vapor; Stratosphere; Meteorology; Climate change; Atmospheric chemistry; Climatology; Physics; Geology; Ozone","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":[],"consensus_categories":[],"category_scores_codex":[0.0002670883,0.00009861019,0.0001626541,0.00002774314,0.0000583855,0.0000143822,0.0001843654,0.00005220573,0.0001390569],"category_scores_gemma":[0.0001064567,0.00009054851,0.00006895608,0.0002313442,0.0001083777,0.00008217996,0.0001445101,0.0002338834,0.00003416329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003786651,"about_ca_system_score_gemma":0.000004692781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002866675,"about_ca_topic_score_gemma":0.00001066587,"domain_scores_codex":[0.9986703,0.00001542762,0.0002132069,0.0001961214,0.0004777573,0.0004271818],"domain_scores_gemma":[0.9993258,0.0002722239,0.00005346416,0.0002117222,0.00002673318,0.0001100868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002687068,0.00006743841,0.000151559,0.00007652247,0.000003763163,7.986031e-7,0.0001767643,0.005584633,0.9916382,0.000009293333,0.001721648,0.0005424477],"study_design_scores_gemma":[0.0003935442,0.00009253628,0.001934881,0.00003900481,0.00000586946,3.790358e-7,0.00007024637,0.1654059,0.8314262,0.00002375331,0.0004941179,0.0001135217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969227,0.00001036771,0.002262276,0.0002844795,0.00007525828,0.0002857534,0.000093778,0.00001836052,0.00004702224],"genre_scores_gemma":[0.9980061,0.000005235888,0.001802178,0.00003154119,0.00004947414,0.00003407744,0.00004353342,0.00001454335,0.00001333195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.160212,"threshold_uncertainty_score":0.3692461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021106915666623,"score_gpt":0.2734654310699248,"score_spread":0.2532543619132586,"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."}}