{"id":"W4319788764","doi":"10.1029/2022jc018463","title":"Heat Flux Estimates From a Synthesis of Satellite Observations and a Hydrodynamic Model (With Application to Long Island Sound)","year":2023,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"Connecticut Sea Grant, University of Connecticut; National Science Foundation","keywords":"Advection; Heat flux; Data assimilation; Sensible heat; Environmental science; Satellite; Meteorology; Flux (metallurgy); Latent heat; Atmospheric sciences; Heat transfer; Mechanics; Geology; Thermodynamics; Physics; Materials science","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":[0.0005370585,0.0006055641,0.0004406063,0.000874841,0.0002319819,0.0007106608,0.0001728001,0.0003424831,0.00117302],"category_scores_gemma":[0.001517469,0.0004456946,0.0004858437,0.0006660269,0.0002232362,0.0006876555,0.0002477076,0.0002957484,0.0002264711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287469,"about_ca_system_score_gemma":0.0009614995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04787128,"about_ca_topic_score_gemma":0.0520975,"domain_scores_codex":[0.9998634,0.0000269763,0.00001143376,0.00004974251,0.00003519325,0.00001329433],"domain_scores_gemma":[0.9996189,0.0001553255,0.00005010844,0.00004488706,0.0001129355,0.000017792],"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":[0.0003196701,0.0001881316,0.1830496,0.0002817889,0.0003505556,0.0001026188,0.000258179,0.5984982,0.04944102,0.001378484,0.002233551,0.1638982],"study_design_scores_gemma":[0.0001011501,0.00007632442,0.1629884,0.00003328369,0.00006748672,0.00001887253,0.00006713846,0.8282901,0.006225775,0.0007687761,0.001319786,0.0000429755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301065,0.0001874535,0.06350956,0.0001026819,0.0000520629,0.00006299755,0.001705416,0.00147335,0.002799959],"genre_scores_gemma":[0.9745603,0.000080609,0.0235225,0.00001295589,0.00001655325,0.00005254941,0.001208154,0.00006252716,0.0004839191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04787128,"threshold_uncertainty_score":0.09518528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049975375315704,"score_gpt":0.2838207024358743,"score_spread":0.2533209486827172,"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."}}