{"id":"W2789325196","doi":"10.1016/j.ijheatfluidflow.2018.01.003","title":"A finite difference solution for freezing brine on cold substrates of spongy ice","year":2018,"lang":"en","type":"article","venue":"International Journal of Heat and Fluid Flow","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Mitacs; Statoil","keywords":"Brine; Discretization; Materials science; Thermal conduction; Finite volume method; Finite difference method; Mechanics; Finite difference; Stefan problem; Thermodynamics; Geology; Composite material; Physics","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":[0.0005568471,0.0005547344,0.0008221925,0.0006119947,0.0008927559,0.001212482,0.001853998,0.003369961,0.003918107],"category_scores_gemma":[0.002159069,0.0004925919,0.0008622585,0.0003906294,0.001872813,0.0009760946,0.001456121,0.001394402,0.0002963682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104298,"about_ca_system_score_gemma":0.001736657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758386,"about_ca_topic_score_gemma":0.01231953,"domain_scores_codex":[0.9998444,0.00002990344,0.00001056515,0.00004327499,0.00003812538,0.0000335925],"domain_scores_gemma":[0.9993879,0.0003366798,0.00004161755,0.00003339691,0.0001311657,0.00006933074],"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":[0.0001296851,0.00017662,0.002336389,0.0001952455,0.00004032159,0.0003718127,0.0002169612,0.9411206,0.01234008,0.02944311,0.001204789,0.0124244],"study_design_scores_gemma":[0.00003240926,0.00002514493,0.0002213259,0.00001217364,0.000005504608,0.00002380631,0.00005235073,0.9962452,0.0006382961,0.00210806,0.0006260292,0.000009537833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.410239,0.001338871,0.5432171,0.002088021,0.00116766,0.0004565188,0.0007373283,0.0002791548,0.04047628],"genre_scores_gemma":[0.8926143,0.0005680848,0.07734203,0.0004322024,0.0002274987,0.0002987316,0.0004106926,0.0001499107,0.02795655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01758386,"threshold_uncertainty_score":0.03496301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576194003147201,"score_gpt":0.2362507664462693,"score_spread":0.2204888264147973,"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."}}