{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004490694,0.0007665999,0.0003616035,0.0005304782,0.0004534929,0.0003586108,0.0007876513,0.0003833221,0.01467085],"category_scores_gemma":[0.0006185609,0.0004128564,0.0003666606,0.0003974586,0.0003268929,0.0004188239,0.0004470469,0.0008479482,0.003601992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007231419,"about_ca_system_score_gemma":0.000795446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000793784,"about_ca_topic_score_gemma":0.002194888,"domain_scores_codex":[0.9995643,0.00003003251,0.0000276056,0.0001154442,0.0001879121,0.00007456883],"domain_scores_gemma":[0.9997296,0.00008816987,0.00005125966,0.0000645624,0.00004661284,0.00001978448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001480499,0.00006619991,0.0002772487,0.0009585731,0.00002381334,0.0001808586,0.0001258033,0.001292245,0.9196035,0.01066156,0.01588341,0.05077868],"study_design_scores_gemma":[0.00003741146,0.000100053,0.0008004743,0.00003264082,0.0000128079,0.0001859572,0.00001617298,0.003300738,0.84431,0.0005318421,0.1506447,0.00002724331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2000755,0.02523407,0.62121,0.003059308,0.007567477,0.003207635,0.01851553,0.01150153,0.1096289],"genre_scores_gemma":[0.4301288,0.01464077,0.468287,0.001221383,0.0005089513,0.003267043,0.007302282,0.0009801403,0.07366373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01467085,"threshold_uncertainty_score":0.04907888,"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."}}