{"id":"W2044613518","doi":"10.1175/jas-d-11-042.1","title":"Convective Momentum Transport in a Simple Multicloud Model for Organized Convection","year":2011,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mesoscale meteorology; Squall line; Convection; Madden–Julian oscillation; Momentum (technical analysis); Mesoscale convective system; Geology; Meteorology; Climatology; Geophysics; Physics; Mechanics","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":[0.0003773806,0.0005714589,0.001006885,0.0005990209,0.001026991,0.001942959,0.001471029,0.001715794,0.001817069],"category_scores_gemma":[0.001145802,0.0004492572,0.0009230738,0.0004816763,0.001552286,0.001185038,0.001177442,0.0008268979,0.0002053931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715889,"about_ca_system_score_gemma":0.0008679914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03212366,"about_ca_topic_score_gemma":0.009699,"domain_scores_codex":[0.9998403,0.00004439675,0.000007975499,0.00003931579,0.00002169837,0.00004629326],"domain_scores_gemma":[0.9995462,0.0001312129,0.0001066969,0.00003722442,0.00005190683,0.0001267481],"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":[0.0001182039,0.00008883055,0.003412354,0.00002247318,0.00003797075,0.0002065148,0.00006451261,0.9847324,0.001885472,0.008417955,0.0003426227,0.0006705806],"study_design_scores_gemma":[0.00003258654,0.00001483312,0.0004706651,0.000001936823,0.000005104606,0.00001007361,0.00001210437,0.9984481,0.00005778386,0.0008358945,0.000105292,0.000005504603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717897,0.0003561737,0.01716193,0.0008108984,0.0000892804,0.00005793155,0.0004511871,0.0001489066,0.009133889],"genre_scores_gemma":[0.9963858,0.00008478972,0.001353858,0.00005446855,0.00002830047,0.00004063749,0.00007774792,0.00001885919,0.00195558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03212366,"threshold_uncertainty_score":0.06387335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280643305186217,"score_gpt":0.252054613776235,"score_spread":0.2092481807243728,"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."}}