{"id":"W2238554751","doi":"","title":"Non CO₂ 온실가스 처리기술에 관한 연구 동향","year":2010,"lang":"ko","type":"article","venue":"한국산업융합학회 논문집","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refrigerant; Greenhouse gas; Environmental science; Environmental economics; Process engineering; Engineering; Gas compressor; Economics; Mechanical 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":[0.0009648266,0.001188996,0.001182134,0.002956511,0.00123384,0.001535642,0.001755985,0.0006552937,0.01295418],"category_scores_gemma":[0.001849901,0.000588774,0.001023034,0.001947421,0.001263305,0.001572119,0.002007348,0.001169402,0.006134532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008247646,"about_ca_system_score_gemma":0.001595455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004532,"about_ca_topic_score_gemma":0.002327221,"domain_scores_codex":[0.9982432,0.000187357,0.00009239637,0.0003589518,0.0009934588,0.0001247657],"domain_scores_gemma":[0.9991922,0.000113248,0.0001268936,0.0001812714,0.0003580084,0.00002836757],"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":[0.0003877571,0.0002605789,0.01126564,0.002637052,0.000164785,0.0007694031,0.0006240937,0.01732361,0.2436781,0.1356285,0.00819856,0.5790618],"study_design_scores_gemma":[0.00005437415,0.001812566,0.01643731,0.0004777705,0.0002602056,0.003790239,0.001167149,0.1607016,0.3687127,0.09987761,0.3462987,0.0004097679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02235486,0.002440988,0.9356412,0.0001148811,0.0004553134,0.001122855,0.0009507714,0.001300307,0.03561889],"genre_scores_gemma":[0.2318168,0.003856416,0.7020451,0.0002896106,0.0001104737,0.00342182,0.002791216,0.0006854528,0.05498317],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01295418,"threshold_uncertainty_score":0.04333603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006091323913531926,"score_gpt":0.2151885017136946,"score_spread":0.2090971778001627,"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."}}