{"id":"W1973704130","doi":"10.1007/s11630-004-0025-4","title":"An analytical model based on the theory of constant heat flux ratio across the frozen layer for solving planar, cylindrical and spherical freezing problems","year":2004,"lang":"en","type":"article","venue":"Journal of Thermal Science","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Planar; Constant (computer programming); Heat flux; Mechanics; Flux (metallurgy); Materials science; Layer (electronics); Thermodynamics; Physics; Heat transfer; Computer science; Composite material","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":[0.000404569,0.0006693253,0.0007952686,0.0006244063,0.0005828178,0.0007903493,0.001652089,0.001388,0.001875412],"category_scores_gemma":[0.001117669,0.0003661657,0.0008325843,0.000540544,0.0009169461,0.001327678,0.0006640352,0.0009774268,0.0003770676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006723371,"about_ca_system_score_gemma":0.001187641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005922886,"about_ca_topic_score_gemma":0.004140259,"domain_scores_codex":[0.9998554,0.00003236108,0.000007083597,0.00002248459,0.00005749104,0.00002526275],"domain_scores_gemma":[0.9998295,0.00006487482,0.00001540374,0.00001548896,0.00006243527,0.00001227287],"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":[0.00002680036,0.00003088576,0.0002455206,0.0001078537,0.00001191595,0.0001273843,0.00008877323,0.8848469,0.01064484,0.09405596,0.001149654,0.008663464],"study_design_scores_gemma":[0.000004245523,0.000008244332,0.00002752134,0.00000484584,0.000002815244,0.00002301179,0.000009667359,0.9956518,0.000534908,0.003114175,0.0006133754,0.000005494356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01297404,0.0004400665,0.9757301,0.0002245453,0.0001441536,0.00007782625,0.00007309984,0.0001257786,0.01021056],"genre_scores_gemma":[0.6612409,0.001963097,0.3075707,0.0003001558,0.0002016656,0.0006760491,0.0003005336,0.0003276632,0.02741922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005922886,"threshold_uncertainty_score":0.0117768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03051858018940429,"score_gpt":0.273535878626663,"score_spread":0.2430172984372587,"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."}}