{"id":"W2293362765","doi":"10.2172/1056348","title":"Cloud Droplet Number Closure Study based on ISDAC Observational Data","year":2012,"lang":"en","type":"report","venue":"","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Cloud computing; Adiabatic process; Meteorology; Liquid water content; Cloud physics; Environmental science; Atmospheric sciences; Closure (psychology); Mechanics; Physics; Thermodynamics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001931587,0.0003752026,0.0007735039,0.00149188,0.0006426077,0.0007422949,0.0009345294,0.0003914198,0.000722143],"category_scores_gemma":[0.004076784,0.0001705464,0.0007089471,0.001194459,0.0003188265,0.0007641333,0.0005660043,0.0003278193,0.0001527583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475561,"about_ca_system_score_gemma":0.0008531969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05369317,"about_ca_topic_score_gemma":0.03208512,"domain_scores_codex":[0.9988788,0.0001552919,0.0001194248,0.0002727189,0.0003908255,0.0001830084],"domain_scores_gemma":[0.9960557,0.001678477,0.0004901635,0.0006043806,0.0009330446,0.0002381619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001225132,0.0004350084,0.7755703,0.0002397771,0.0003672477,0.001156478,0.0003690383,0.1495132,0.03857657,0.002381767,0.00204816,0.02811728],"study_design_scores_gemma":[0.0001426694,0.0002301826,0.5487015,0.00004075907,0.00009639537,0.0002373253,0.0002127899,0.4284439,0.01876416,0.0003250571,0.002740367,0.00006493168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939753,0.00005548192,0.001828288,0.00001443136,0.000006636382,0.00006943433,0.002657167,0.0000807355,0.00131257],"genre_scores_gemma":[0.9937745,0.00002365789,0.001987103,0.000004618367,0.000004741968,0.00003380018,0.00403142,0.00001934226,0.0001208642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05369317,"threshold_uncertainty_score":0.1067613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2130149869378336,"score_gpt":0.3386643782718881,"score_spread":0.1256493913340546,"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."}}