{"id":"W4402477370","doi":"10.22541/essoar.172615983.37533073/v1","title":"Impact of Synoptic-Scale Atmospheric Forcing Conditions on Deep Convection in the Labrador Sea","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Climatology; Mixed layer; Stratification (seeds); North Atlantic oscillation; Convection; Advection; Forcing (mathematics); Geology; Atmospheric sciences; Environmental science; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000443954,0.0004293493,0.000359809,0.000296789,0.0004101309,0.001108972,0.0003676385,0.0005255024,0.0011092],"category_scores_gemma":[0.001409492,0.0002310399,0.0004563945,0.0003275856,0.0004489094,0.0003878631,0.0005256139,0.0003474753,0.0001241115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008799214,"about_ca_system_score_gemma":0.0006765672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06851959,"about_ca_topic_score_gemma":0.05810965,"domain_scores_codex":[0.9998116,0.00006709875,0.00001781214,0.00003667452,0.0000164697,0.00005047723],"domain_scores_gemma":[0.9995292,0.0001793249,0.00008753488,0.00005626164,0.00005186319,0.00009578774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001834271,0.0005814314,0.7590604,0.000136507,0.0007266483,0.0007189017,0.0002198556,0.1957184,0.02313646,0.001239005,0.002979316,0.0136487],"study_design_scores_gemma":[0.0002174306,0.000318392,0.784095,0.0000239719,0.0001824456,0.00005980162,0.0004331209,0.2090946,0.004252868,0.0002985746,0.0009741152,0.00004959185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990409,0.00003943056,0.00005474495,0.00006561122,0.000008720019,0.000002357729,0.0002702923,0.00002807302,0.0004897786],"genre_scores_gemma":[0.9995678,0.00002897821,0.00004111241,0.00001685683,0.000003880826,0.000002433646,0.0002440604,0.000007668771,0.00008718383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06851959,"threshold_uncertainty_score":0.1362416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575999022217522,"score_gpt":0.2806291406943094,"score_spread":0.2648691504721342,"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."}}