{"id":"W2752312877","doi":"10.5539/mas.v11n10p1","title":"ANN Modelling of Propane-Powered 4-Stroke Spark Ignition Engine","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spark plug; Equivalence ratio; Propane; SPARK (programming language); Compression ratio; Ignition system; Spark-ignition engine; Thermal efficiency; Parametric statistics; Automotive engineering; Equivalence (formal languages); Range (aeronautics); Computer science; Nuclear engineering; Four-stroke engine; Environmental science; Materials science; Mechanical engineering; Thermodynamics; Internal combustion engine; Engineering; Mathematics; Chemistry; Physics; Combustion; Statistics; Composite material; Combustion chamber","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002896017,0.0008420055,0.0007600221,0.0005217534,0.0004291993,0.0007856817,0.0007552954,0.001105486,0.001760942],"category_scores_gemma":[0.0006682768,0.0004303567,0.0007205479,0.0004199651,0.0002419469,0.0004401651,0.0002855958,0.0006324084,0.0003747022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007041254,"about_ca_system_score_gemma":0.0005027537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390641,"about_ca_topic_score_gemma":0.00882201,"domain_scores_codex":[0.9998579,0.00003200562,0.00001413971,0.00002997277,0.0000401496,0.00002579018],"domain_scores_gemma":[0.9997455,0.000139841,0.00002690788,0.000009542125,0.00007128686,0.000006817212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002425966,0.00001502172,0.0003345288,0.00002665554,0.00001317707,0.00002953345,0.000007476169,0.995919,0.0006953811,0.0001179312,0.00006770688,0.002749212],"study_design_scores_gemma":[0.000001434199,0.00001032903,0.0002184114,0.00000294012,0.000003597124,0.000003690249,0.000002126138,0.9992589,0.0003515659,0.00007168537,0.00007245689,0.000002946372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7171898,0.001201495,0.2460296,0.0003222257,0.000165733,0.0001567165,0.001051229,0.001239421,0.03264378],"genre_scores_gemma":[0.9850972,0.0003506588,0.007862133,0.00002139525,0.00001022075,0.0001483654,0.0004037907,0.00002131312,0.006084889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390641,"threshold_uncertainty_score":0.02765095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04034443258708668,"score_gpt":0.2536165946882107,"score_spread":0.2132721621011241,"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."}}