{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002229704,0.0001155992,0.0001495748,0.0006237568,0.0002690686,0.00004151871,0.0002722064,0.00008033935,0.00001003287],"category_scores_gemma":[0.0001127149,0.00007720345,0.00001411432,0.001193343,0.0001505048,0.000187843,0.00009493581,0.0007343079,0.00002951036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007256027,"about_ca_system_score_gemma":0.0001667954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001957829,"about_ca_topic_score_gemma":0.000002759796,"domain_scores_codex":[0.9988226,0.0000505854,0.0003469715,0.0001021875,0.0003406685,0.0003369394],"domain_scores_gemma":[0.99909,0.0001730446,0.00003986375,0.0001556738,0.0004410331,0.0001004557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009717424,0.001142166,0.01485311,0.0008958661,0.001705043,0.00187111,0.0689707,0.01381886,0.5167652,0.0260891,0.02500202,0.327915],"study_design_scores_gemma":[0.004944997,0.003771569,0.7441,0.0008101527,0.00002225137,0.001207442,0.01931822,0.02850272,0.1306918,0.02863473,0.03658029,0.001415886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973533,0.0002239901,0.0008648441,0.0006366761,0.0001820401,0.0001348514,0.000002932816,0.0001688749,0.0004324733],"genre_scores_gemma":[0.9953133,0.0001736493,0.004203948,0.000003873639,0.00008813343,0.00002062849,0.000009498533,0.00002390673,0.0001629937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7292469,"threshold_uncertainty_score":0.3190243,"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."}}