{"id":"W4375934185","doi":"10.2139/ssrn.4440814","title":"Topologically Optimized Mini-Channel Heat Sinks for Reduced Temperature Non-Uniformity","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Channel (broadcasting); Heat sink; Materials science; Environmental science; Mechanics; Nuclear engineering; Computer science; Thermodynamics; Physics; Telecommunications; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001340148,0.000530867,0.0006763985,0.0002418938,0.0002682357,0.0001882746,0.0005260932,0.00103245,0.00002121945],"category_scores_gemma":[0.00007488725,0.0004798089,0.000489031,0.0001961512,0.00003826561,0.0001327732,0.00007561014,0.00564148,0.00001572724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166767,"about_ca_system_score_gemma":0.001494805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000262821,"about_ca_topic_score_gemma":0.0001583413,"domain_scores_codex":[0.9959628,0.00006015676,0.0006508039,0.0004345602,0.0002757936,0.00261587],"domain_scores_gemma":[0.9991277,0.00009200029,0.00004209177,0.0003450344,0.0002003953,0.000192809],"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":[0.0001890286,0.00004975263,0.000006531825,0.0002142862,0.0005947375,0.00000951342,0.0003302391,0.9931812,0.002127614,0.00105765,0.001252084,0.0009873472],"study_design_scores_gemma":[0.00940219,0.001527871,0.0003364804,0.0009660785,0.0008935305,0.0008427735,0.00206089,0.638626,0.007895753,0.3329833,0.0007874968,0.003677636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1103192,0.002679547,0.8754409,0.00260745,0.004713739,0.001938174,0.000179028,0.001113454,0.00100852],"genre_scores_gemma":[0.9687719,0.02165851,0.005587118,0.0001054421,0.001581938,0.0002077996,0.0004238865,0.0002488844,0.001414496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8698538,"threshold_uncertainty_score":0.9997653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504413195584477,"score_gpt":0.2453764768165252,"score_spread":0.2303323448606804,"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."}}