{"id":"W2754004890","doi":"10.1002/2016jc012172","title":"Laboratory experiments on diffusive convection layer thickness and its oceanographic implications","year":2016,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Ocean Sciences; Fisheries and Oceans Canada; Woods Hole Oceanographic Institution; Chinese Academy of Sciences; National Science Foundation","keywords":"Buoyancy; Convection; Convective Boundary Layer; Stratification (seeds); Boundary layer; Thermal diffusivity; Thermal; Mechanics; Thermal stratification; Materials science; Convective heat transfer; Layer (electronics); Mixed layer; Geology; Flux (metallurgy); Thermodynamics; Meteorology; Planetary boundary layer; Turbulence; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003331981,0.0003279687,0.0001796554,0.0002069406,0.0002419794,0.0003189505,0.0002681058,0.0002045992,0.0007204442],"category_scores_gemma":[0.0009698656,0.0001608851,0.0001659126,0.0001108328,0.000507025,0.0003431498,0.0004029403,0.0004364704,0.00008487633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002593649,"about_ca_system_score_gemma":0.000169665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005216189,"about_ca_topic_score_gemma":0.0003295084,"domain_scores_codex":[0.9998502,0.00002622431,0.00001172073,0.00004518602,0.00002879463,0.00003784557],"domain_scores_gemma":[0.9994229,0.0002512994,0.0001314294,0.00006706698,0.00006933879,0.00005805414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005392389,0.00009451061,0.003983872,0.0000369925,0.00001009216,0.00003842377,0.00007071865,0.0011111,0.992404,0.0001557477,0.00003811283,0.001517168],"study_design_scores_gemma":[0.00004722435,0.001039653,0.007720836,0.000006536102,0.00002042605,0.00003340119,0.00007442063,0.003508403,0.9872286,0.00009852109,0.0002104296,0.00001151443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985719,0.00006838674,0.0009925934,0.00001186846,0.000006896186,0.00000894673,0.00007746698,0.00002607823,0.0002359251],"genre_scores_gemma":[0.9992732,0.00003426504,0.0005020051,0.000007711227,0.00000276519,0.00001161875,0.00004558699,0.000005858671,0.0001169519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007204442,"threshold_uncertainty_score":0.002410114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592219222956888,"score_gpt":0.3195648384916502,"score_spread":0.2736426462620813,"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."}}