{"id":"W2152142399","doi":"10.1175/jas3660.1","title":"Cloud Phase Structure: Experimental Data Analysis and Parameterization","year":2006,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depth sounding; Liquid water content; Environmental science; Cloud fraction; Relative humidity; Atmospheric sciences; Cloud computing; Meteorology; Physics; Cloud cover; Geology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007106738,0.0002694077,0.0002119791,0.0005708255,0.0002711453,0.0002079953,0.0003359676,0.0001924749,0.001349875],"category_scores_gemma":[0.002172042,0.000105467,0.0002566365,0.000782225,0.0002098893,0.0002932752,0.0002117656,0.0002566274,0.0001741688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000365909,"about_ca_system_score_gemma":0.0002001363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003873039,"about_ca_topic_score_gemma":0.001725729,"domain_scores_codex":[0.9997346,0.00008089226,0.00002981053,0.00004919136,0.00007188357,0.00003360762],"domain_scores_gemma":[0.9989354,0.0004820036,0.0001013598,0.000284711,0.000179033,0.00001760282],"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":[0.002259867,0.00280868,0.09353086,0.0006118898,0.0002326424,0.0001918965,0.0003811171,0.4213662,0.3506453,0.003415014,0.001739138,0.1228174],"study_design_scores_gemma":[0.0001376361,0.00106535,0.06044124,0.0000257201,0.00006732727,0.000117868,0.000093697,0.6982441,0.2362525,0.0009771965,0.002517869,0.00005940365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800208,0.0001719703,0.01582584,0.00002088035,0.000009368957,0.0001345863,0.002668367,0.0002766394,0.00087167],"genre_scores_gemma":[0.990668,0.0000917037,0.006448198,0.000004502971,0.000004359478,0.0001706645,0.002477355,0.00003122603,0.0001040958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003873039,"threshold_uncertainty_score":0.007701039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01479380912640694,"score_gpt":0.273423388176407,"score_spread":0.2586295790500001,"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."}}