{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004070435,0.0006143381,0.0004922215,0.001075161,0.0009736008,0.001024179,0.0006384033,0.0006266312,0.008570348],"category_scores_gemma":[0.001248605,0.0003575278,0.0004450277,0.0006790733,0.0004304621,0.001101291,0.0008274092,0.0006773611,0.004470105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003398442,"about_ca_system_score_gemma":0.0003150585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005886354,"about_ca_topic_score_gemma":0.000802293,"domain_scores_codex":[0.9991251,0.00007451318,0.00005237084,0.000133864,0.0004920464,0.0001221365],"domain_scores_gemma":[0.9992355,0.0001350175,0.00008469431,0.0002051309,0.0003075109,0.00003213215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003777694,0.00008727487,0.004588369,0.001608322,0.00004876563,0.001444303,0.0009046838,0.002784505,0.7481652,0.003032374,0.01349811,0.2234602],"study_design_scores_gemma":[0.00002410881,0.0004202079,0.00939346,0.0003033538,0.00004747091,0.001760091,0.0005971669,0.00319194,0.8209814,0.001282367,0.1619631,0.00003537015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6298723,0.01633774,0.2254797,0.001225266,0.001956971,0.0009651227,0.002026167,0.003418301,0.1187185],"genre_scores_gemma":[0.8569016,0.005686873,0.06372879,0.001150567,0.0002237373,0.0002665273,0.002296166,0.0009744256,0.06877141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008570348,"threshold_uncertainty_score":0.02867067,"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."}}