{"id":"W4362575965","doi":"10.22541/essoar.168057602.27199096/v1","title":"Response of the current climate to land-ocean contrasts in parameterized cumulus entrainment","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Biological and Environmental Research; Office of Science; Alliance de recherche numérique du Canada; Compute Canada; McGill University; U.S. Department of Energy","keywords":"Entrainment (biomusicology); Environmental science; Convection; Climatology; Precipitation; Atmospheric sciences; Ocean current; Climate model; Diabatic; Geology; Climate change; Oceanography; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003671264,0.0005197129,0.0002898097,0.0002604428,0.0003396419,0.0008064651,0.0005162999,0.0006505105,0.0009419324],"category_scores_gemma":[0.001928397,0.0002200339,0.00056082,0.0002522574,0.0003820587,0.0005282082,0.0005205014,0.0006523149,0.0001104183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008349741,"about_ca_system_score_gemma":0.0005489386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01714662,"about_ca_topic_score_gemma":0.009693117,"domain_scores_codex":[0.9998785,0.00002652114,0.00000855006,0.00003289516,0.00001492393,0.00003855305],"domain_scores_gemma":[0.9996636,0.0001293596,0.00005156279,0.0000391047,0.00004501936,0.00007129434],"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":[0.0004653561,0.000347326,0.1324457,0.00008307708,0.0003561723,0.0003098267,0.0001420755,0.8256182,0.0316494,0.001680986,0.001327772,0.005574201],"study_design_scores_gemma":[0.0001476342,0.0002317207,0.1068746,0.00001379327,0.0001122887,0.00007464086,0.0001833905,0.885073,0.005423844,0.0005374608,0.001286921,0.0000405635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981402,0.00004342768,0.0003497915,0.00009634125,0.00001601015,0.000007383313,0.0002084763,0.0000293615,0.001109022],"genre_scores_gemma":[0.9994603,0.00002450883,0.0001548983,0.00002233971,0.000003991973,0.000006240242,0.0002290044,0.0000119491,0.00008673586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01714662,"threshold_uncertainty_score":0.03409362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04483004943584135,"score_gpt":0.3006811032789684,"score_spread":0.2558510538431271,"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."}}