{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002130986,0.0002242146,0.0004218002,0.0001001687,0.00009707348,0.0002259628,0.00008104726,0.0002201237,0.00007416618],"category_scores_gemma":[0.00003269049,0.0002028775,0.00004104149,0.00001659405,0.0001140203,0.0003358086,0.00007726149,0.0001598263,8.859139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006653447,"about_ca_system_score_gemma":0.00002681606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269336,"about_ca_topic_score_gemma":0.00006481168,"domain_scores_codex":[0.9991396,0.00001174294,0.0002890544,0.0001877967,0.0001577322,0.0002140824],"domain_scores_gemma":[0.9993686,0.00004460776,0.00008203788,0.000330835,0.0001121557,0.00006175521],"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":[0.001998158,0.00029791,0.09691157,0.2553762,0.005667373,0.001215965,0.04779291,0.001530657,0.01747539,0.009301688,0.126444,0.4359882],"study_design_scores_gemma":[0.003660295,0.0005580119,0.06795741,0.00554928,0.0009334601,0.0002224581,0.002150872,0.04861341,0.008638995,0.003082122,0.8549414,0.003692301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891844,0.001162825,0.001136807,0.00002701029,0.0008224541,0.0004060399,0.0004013641,0.0001742605,0.006684825],"genre_scores_gemma":[0.9950452,0.0006149595,0.0002081337,0.000006956541,0.00006598458,0.000007472308,0.00005494494,0.00004051331,0.003955767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7284974,"threshold_uncertainty_score":0.8273106,"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."}}