{"id":"W4408899096","doi":"10.1109/ppic50668.2023.10925736","title":"Dry Ice Cleaning of Electrical Equipment","year":2023,"lang":"en","type":"article","venue":"","topic":"Mechanical and Thermal Properties Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kruger (Canada); Rockwell Automation (Canada)","funders":"","keywords":"Environmental science; Dry ice; Dry cleaning; Computer science; Materials science; Engineering; Waste management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008331888,0.00004330313,0.00009513266,0.00004017831,0.00001312712,0.00000419055,0.00006550951,0.00002279983,0.0005176217],"category_scores_gemma":[0.00001173223,0.00003187687,0.00004777181,0.0002998026,0.000004032044,0.00002020912,0.00002828645,0.00004725204,0.0002782413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009548817,"about_ca_system_score_gemma":0.000001703274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002192188,"about_ca_topic_score_gemma":0.000002467515,"domain_scores_codex":[0.9995832,0.000006677737,0.0001309744,0.00005528903,0.00009363581,0.0001301942],"domain_scores_gemma":[0.999851,0.0000239269,0.000006786388,0.00007585748,0.000008778115,0.00003360093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003831546,0.00007394146,0.0006674011,0.0002576565,0.0006054672,0.00002447614,0.000372308,0.109367,0.4924283,0.05075837,0.00682392,0.3385829],"study_design_scores_gemma":[0.00007915319,0.00003424355,0.0002541345,0.000008073025,0.00001622927,1.640502e-7,0.0000505032,0.9475405,0.04849213,0.0005144465,0.002924033,0.00008637187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8672028,0.0002455308,0.02564969,0.0001935509,0.0001650823,0.00009434636,0.000001529634,0.001174066,0.1052734],"genre_scores_gemma":[0.9985986,0.00006912104,0.0002423969,0.00003468405,0.00002367466,0.000002433302,0.000001321346,0.000008821427,0.001018979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8381736,"threshold_uncertainty_score":0.5667595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634736520931078,"score_gpt":0.2050655922273715,"score_spread":0.1887182270180608,"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."}}