{"id":"W4406763204","doi":"10.1115/imece2024-144466","title":"Assessment of Refrigerant Management Practices in Automotive Air Conditioning Service Centers: Compliance, Challenges, and Environmental Implications","year":2024,"lang":"en","type":"article","venue":"","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Automotive industry; Air conditioning; Compliance (psychology); Service (business); Environmental compliance; Business; Environmental science; Automotive engineering; Environmental resource management; Engineering; Mechanical engineering; Environmental protection; Psychology; Marketing; Heat exchanger; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00754417,0.0002163575,0.0001890597,0.001190684,0.0008810993,0.001274396,0.0007427945,0.0003528097,0.001026989],"category_scores_gemma":[0.01579218,0.0001797294,0.000220057,0.001666935,0.0007471663,0.0007634894,0.001131989,0.0003935563,0.0001556834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897536,"about_ca_system_score_gemma":0.003282144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220521,"about_ca_topic_score_gemma":0.0163074,"domain_scores_codex":[0.9940044,0.00247738,0.0006475163,0.0004495884,0.001791613,0.0006293988],"domain_scores_gemma":[0.9708468,0.007737888,0.009452509,0.0008846266,0.00968128,0.001396954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003906664,0.0001578216,0.9722106,0.00008572717,0.00001882039,0.00008821695,0.009905979,0.0002290693,0.0008596922,0.0001012282,0.0002094712,0.01609435],"study_design_scores_gemma":[0.00000195894,0.0002332012,0.9389396,0.00006331812,0.0000076141,0.00008425384,0.0576982,0.000976614,0.0009152735,0.00004528867,0.001021956,0.0000128189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988863,0.00003772869,0.0002185754,0.0001108595,0.000002210062,0.00002619384,0.000048745,0.000004492384,0.000664812],"genre_scores_gemma":[0.9993165,0.0000508764,0.0003169418,0.00003437709,0.000002242138,0.00002688987,0.0000666547,0.000001236341,0.0001842794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01220521,"threshold_uncertainty_score":0.03989786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04200605263220932,"score_gpt":0.3028717140321224,"score_spread":0.2608656613999131,"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."}}