{"id":"W4221069927","doi":"10.5194/egusphere-egu22-10991","title":"Understanding responses of summer continental daily temperature variance to perturbations in the land surface evaporative resistance&amp;#160;","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Mary's University","funders":"","keywords":"Latent heat; Environmental science; Cloud cover; Sensible heat; Atmospheric sciences; Animal science; Biology; Meteorology; Geography; Physics","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":[0.0001387739,0.0002561173,0.0001794181,0.0001089166,0.000130925,0.0003916645,0.0001960654,0.0003312995,0.0008685883],"category_scores_gemma":[0.0008363645,0.0001641369,0.000359194,0.0001564666,0.0001602586,0.0004270367,0.0003202152,0.0003114414,0.0001867341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066425,"about_ca_system_score_gemma":0.0002234029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006639477,"about_ca_topic_score_gemma":0.005122217,"domain_scores_codex":[0.9999238,0.00001501839,0.000004085854,0.00002949605,0.00001465449,0.00001288227],"domain_scores_gemma":[0.9998749,0.0000452675,0.00002653994,0.00001832083,0.00002125351,0.00001368181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003933713,0.0001780072,0.1789642,0.0001498863,0.0003018771,0.0001413552,0.0002114377,0.6442556,0.1330134,0.002497574,0.002177964,0.03771544],"study_design_scores_gemma":[0.00001853453,0.00008839124,0.193891,0.00001007451,0.00003659139,0.00003921649,0.00008240337,0.7947498,0.008004889,0.001351816,0.001692473,0.00003486477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854245,0.0001974281,0.01034766,0.0002529318,0.000030559,0.00001001658,0.0006788082,0.0001901955,0.002867918],"genre_scores_gemma":[0.9982571,0.00007254042,0.001022933,0.0000297259,0.000006339297,0.000006735565,0.0003534086,0.00002666657,0.0002246125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006639477,"threshold_uncertainty_score":0.01320165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1208738884553993,"score_gpt":0.3108960099567505,"score_spread":0.1900221215013513,"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."}}