{"id":"W4230288111","doi":"10.4271/as6886","title":"Counterfeit Materiel: Assuring Acquisition and Use of Authentic and Conforming Refrigerant","year":2017,"lang":"en","type":"standard","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Counterfeit; Refrigerant; Computer science; Engineering; Mechanical engineering; History; Archaeology","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":[0.01062076,0.0008632076,0.0002994775,0.001564324,0.002433422,0.004090911,0.002776851,0.002864713,0.03098435],"category_scores_gemma":[0.02675002,0.0003871944,0.0003852605,0.0006348956,0.003863061,0.004053337,0.005701805,0.001728774,0.03620286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536392,"about_ca_system_score_gemma":0.00961757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009981496,"about_ca_topic_score_gemma":0.0115072,"domain_scores_codex":[0.981199,0.002683032,0.001005455,0.0009687304,0.01283577,0.001308083],"domain_scores_gemma":[0.9842518,0.002295115,0.001221113,0.002838371,0.008796248,0.0005973789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002599063,0.0004960514,0.005930742,0.0009892891,0.00001415877,0.0006253669,0.003191202,0.0009183281,0.0241644,0.09704822,0.3512826,0.5150797],"study_design_scores_gemma":[0.00004277783,0.0003677289,0.004788329,0.001396527,0.00002225303,0.001149811,0.001960669,0.002489822,0.07321975,0.01043436,0.9040415,0.00008654438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05464023,0.003320232,0.173052,0.01570101,0.003924371,0.005168665,0.00252959,0.007684718,0.7339793],"genre_scores_gemma":[0.349068,0.005788821,0.1859728,0.00771551,0.000761158,0.0038663,0.006501146,0.002029008,0.4382971],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03098435,"threshold_uncertainty_score":0.103653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313314252669065,"score_gpt":0.2278137205111685,"score_spread":0.2146805779844778,"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."}}