{"id":"W4391113495","doi":"10.60008/thequest.v2i2.95","title":"Improvised Freon Extractor as an Innovative Trainer","year":2023,"lang":"en","type":"article","venue":"The QUEST Journal of Multidisciplinary Research and Development","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air conditioning; Freon; Refrigeration; HVAC; Montreal Protocol; Refrigerant; Environmental science; Waste management; Engineering; Automotive engineering; Gas compressor; Ozone layer; Process engineering; Mechanical engineering; Meteorology; Chemistry; Ozone","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":[0.0004562452,0.000532429,0.0001930581,0.0005006672,0.0004383533,0.000490018,0.0009712785,0.0005588378,0.01008014],"category_scores_gemma":[0.0006048477,0.0001225973,0.0003071232,0.0001443062,0.0004161341,0.0008572306,0.001163608,0.0005065217,0.001781746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003313409,"about_ca_system_score_gemma":0.0005328884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006379684,"about_ca_topic_score_gemma":0.002105649,"domain_scores_codex":[0.9996946,0.00006252015,0.000009763869,0.00006269677,0.0001053675,0.00006506873],"domain_scores_gemma":[0.9998032,0.00003449959,0.00002072621,0.00001234808,0.00006663307,0.00006252897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001543294,0.005837505,0.01781506,0.001468904,0.00005917047,0.002181162,0.01272556,0.003872424,0.3016208,0.008570913,0.01338611,0.6309192],"study_design_scores_gemma":[0.0004464533,0.02334684,0.08822067,0.001057056,0.0003093563,0.008864716,0.02462197,0.03073621,0.2138698,0.004101022,0.6041117,0.0003142156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072677,0.000375204,0.05041402,0.0006029778,0.0001473165,0.0007605262,0.0001587534,0.0006987248,0.03957476],"genre_scores_gemma":[0.7000672,0.0006726406,0.110477,0.0004667641,0.00004620956,0.0005435611,0.0004893732,0.0001206785,0.1871166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01008014,"threshold_uncertainty_score":0.03372139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07519157010819372,"score_gpt":0.3670973082311218,"score_spread":0.2919057381229281,"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."}}