{"id":"W2130575440","doi":"10.1175/jas3784.1","title":"Relative Humidity in Liquid, Mixed-Phase, and Ice Clouds","year":2006,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Glenn Research Center; Transport Canada; Langley Research Center; National Aeronautics and Space Administration","keywords":"Relative humidity; Ice cloud; Atmospheric sciences; Mesoscale meteorology; Environmental science; Saturation (graph theory); Humidity; Ice nucleus; Liquid water content; Liquid water; Climatology; Meteorology; Geology; Satellite; Geography; Thermodynamics; Physics; Cloud computing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001159261,0.0001645621,0.0002365868,0.0003350006,0.000144316,0.0002845624,0.0002248816,0.0001441717,0.0003934604],"category_scores_gemma":[0.0002406192,0.0001078359,0.0001031649,0.0004182419,0.0001331495,0.0002958259,0.0001886044,0.0001636231,0.0001037914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513526,"about_ca_system_score_gemma":0.00008897464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00892582,"about_ca_topic_score_gemma":0.006359417,"domain_scores_codex":[0.9998994,0.000008234721,0.000003756893,0.00003654806,0.00003162537,0.00002044775],"domain_scores_gemma":[0.9998931,0.00002975143,0.00002168411,0.000007065849,0.00002671832,0.00002172118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001425523,0.0002061021,0.5949767,0.00020046,0.0001611026,0.0003173146,0.0003944618,0.01020189,0.3606239,0.0003879994,0.0007472788,0.03035725],"study_design_scores_gemma":[0.0000309697,0.0002315412,0.8857266,0.00001387777,0.00005371076,0.000170947,0.0001849886,0.04331454,0.06881822,0.0001874666,0.001243734,0.0000233694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998184,0.0001439941,0.0006389875,0.000006979137,0.000004488887,0.000002624284,0.0003441599,0.0000282764,0.0006464673],"genre_scores_gemma":[0.9994474,0.00002725258,0.0001794623,0.000002740407,0.000003274053,0.000001470017,0.0002745013,0.000003435166,0.00006048377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00892582,"threshold_uncertainty_score":0.01774776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009674396235874788,"score_gpt":0.2457289264230786,"score_spread":0.2360545301872038,"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."}}