{"id":"W2969638530","doi":"","title":"Use of Hydrogen Enriched Compressed Natural Gas for IC Engines – Review Paper","year":2019,"lang":"en","type":"article","venue":"Journal of Emerging Technologies and Innovative Research","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compressed natural gas; Natural gas; Combustion; NOx; Methane; Hydrogen; Environmental science; Hydrogen fuel; Waste management; Materials science; Chemistry; Engineering; Organic chemistry","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":[0.0003966418,0.0005754736,0.0006620952,0.001314087,0.0001506587,0.0006757617,0.0006125995,0.0008302547,0.00300363],"category_scores_gemma":[0.0004227415,0.0001858134,0.0003028293,0.001652892,0.0002840103,0.001117695,0.0003043808,0.0005383649,0.001483131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312602,"about_ca_system_score_gemma":0.000606699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006390933,"about_ca_topic_score_gemma":0.0007854533,"domain_scores_codex":[0.9998195,0.00001949106,0.00002019874,0.00005061534,0.00007143764,0.00001891164],"domain_scores_gemma":[0.9995763,0.000185951,0.00008084645,0.00001326334,0.0001152583,0.00002855406],"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":[0.0001073258,0.0001226106,0.0003230794,0.02095047,0.00008607055,0.0002940719,0.00004725498,0.0005862266,0.00689517,0.001978641,0.01552204,0.953087],"study_design_scores_gemma":[0.00001882349,0.0004094816,0.001925644,0.003790597,0.0002172989,0.00258287,0.0001258,0.000422873,0.01071633,0.0008793506,0.978878,0.00003307068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007841571,0.9969407,0.0002851298,0.0001496942,0.0002580504,0.000008405411,0.00001650689,0.000006609007,0.001550724],"genre_scores_gemma":[0.004756852,0.9932359,0.0003344153,0.00009216386,0.0004039163,0.000006634545,0.00003719622,0.000003031855,0.001129941],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00300363,"threshold_uncertainty_score":0.01004815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07676050589638714,"score_gpt":0.3689294403044575,"score_spread":0.2921689344080703,"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."}}