{"id":"W2122299373","doi":"10.1175/jamc-d-12-062.1","title":"Saturated Pseudoadiabats—A Noniterative Approximation","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Meteorology and Climatology","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Iterated function; Thermodynamics; Approximation error; Mathematics; Skew; Mean squared error; Bounded function; Correlation coefficient; Physics; Applied mathematics; Mathematical analysis; Statistics","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":[0.001099447,0.0005904768,0.0006034359,0.0004024768,0.0004206059,0.0008898354,0.00128733,0.0005268814,0.006611458],"category_scores_gemma":[0.004486531,0.0003653163,0.0006719435,0.0003417181,0.001077845,0.000947165,0.001012759,0.001530019,0.001056693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000911009,"about_ca_system_score_gemma":0.00121414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005954515,"about_ca_topic_score_gemma":0.005245984,"domain_scores_codex":[0.9994116,0.0001898368,0.00002336582,0.00007029913,0.0002302682,0.00007465619],"domain_scores_gemma":[0.9981627,0.001267302,0.00008968007,0.0001961934,0.0002471772,0.00003698104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008903859,0.00006626435,0.0007725047,0.0001218962,0.00002618431,0.0001252495,0.0001456481,0.8044428,0.003843006,0.1484582,0.001131342,0.04077786],"study_design_scores_gemma":[0.00000558707,0.00001152431,0.00003384713,0.000005599487,0.000002518385,0.000006523554,0.000005222692,0.9835946,0.0006219217,0.01477962,0.000929869,0.000003252283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01756883,0.00009687289,0.9728759,0.0001436298,0.00004666092,0.00004877694,0.00005821146,0.000437136,0.008723901],"genre_scores_gemma":[0.4495151,0.0001773739,0.5362346,0.0002490461,0.00005057322,0.0003283647,0.0001516609,0.0004276704,0.01286559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006611458,"threshold_uncertainty_score":0.02211756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109423594393547,"score_gpt":0.213093260782877,"score_spread":0.2019990248389415,"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."}}