{"id":"W7131223672","doi":"10.1109/eptc67330.2025.11392235","title":"PDMS Microchannels for Silicon Chip Cooling","year":2025,"lang":"","type":"article","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Polydimethylsiloxane; Microfluidics; Silicon; Nichrome; Drop (telecommunication); Chip; Thermal; Microchannel; Computer cooling","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"],"consensus_categories":[],"category_scores_codex":[0.0001595429,0.0002459457,0.00027978,0.0001717404,0.0001493415,0.00009626839,0.0001386006,0.0002299292,0.0002487587],"category_scores_gemma":[0.00003150502,0.0002730079,0.0001562613,0.0003320634,0.0000198659,0.000135013,0.0000146025,0.0001439631,0.00003219361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007264369,"about_ca_system_score_gemma":0.00006670469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002623442,"about_ca_topic_score_gemma":0.00002120584,"domain_scores_codex":[0.9987714,0.00001425621,0.0004118561,0.0002889234,0.0000655765,0.0004479482],"domain_scores_gemma":[0.999483,0.0001373695,0.000006830969,0.0001984243,0.00008836413,0.00008600482],"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":[0.0001204209,0.00008861142,0.00008133926,0.001948577,0.0002777979,0.000001135778,0.001087182,0.8890936,0.05891903,0.01938998,0.00325513,0.02573716],"study_design_scores_gemma":[0.001174828,0.00004546634,0.000209524,0.0002237872,0.0001089918,8.284857e-7,0.0001380566,0.8372091,0.1530703,0.0004618607,0.007054871,0.0003024065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01017746,0.001410587,0.9598745,0.0004244613,0.001414107,0.000803627,0.0000316478,0.0002338628,0.02562982],"genre_scores_gemma":[0.9874955,0.0005205108,0.00717389,0.0004493015,0.000208305,0.00006704204,0.00003758134,0.0000464338,0.004001392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9773181,"threshold_uncertainty_score":0.9999722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148031030063609,"score_gpt":0.2403157609337385,"score_spread":0.2288354506331025,"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."}}