{"id":"W1987503450","doi":"10.1115/1.2978996","title":"On Moore’s Law and Its Application to Spark Ignition Engine Technology","year":2008,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Ignition system; SPARK (programming language); Electronics; Spark-ignition engine; Logistic function; Function (biology); Power law; Exponential function; Moore's law; Internal combustion engine; Combustion; Law; Automotive engineering; Computer science; Engineering; Electrical engineering; Mathematics; Physics; Thermodynamics; Statistics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003719944,0.0009582991,0.00119907,0.003485896,0.001169992,0.002365446,0.001188148,0.002944211,0.003006157],"category_scores_gemma":[0.02210653,0.0005601881,0.001462163,0.004353833,0.005110632,0.005550522,0.001446515,0.004037186,0.001108103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002661623,"about_ca_system_score_gemma":0.001249555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007325608,"about_ca_topic_score_gemma":0.002626857,"domain_scores_codex":[0.9979348,0.0006532702,0.0001607759,0.000363261,0.000713409,0.0001744825],"domain_scores_gemma":[0.9849317,0.01246332,0.0007968224,0.0004087623,0.001228457,0.0001709151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003049787,0.0000269034,0.001907535,0.0001792027,0.00002747945,0.0003498164,0.0002723674,0.05297284,0.0002806986,0.8986216,0.004581946,0.04074913],"study_design_scores_gemma":[0.000005695613,0.00003669945,0.000961292,0.0001431155,0.00001264521,0.0002186316,0.00006749007,0.06536549,0.0003071009,0.9173882,0.01542959,0.00006403044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03259357,0.05584526,0.7780176,0.02009979,0.002202508,0.000124204,0.0006358674,0.0002912503,0.11019],"genre_scores_gemma":[0.7610505,0.07522371,0.1332546,0.003008425,0.005197952,0.0003423623,0.0004942482,0.0001301845,0.02129801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007325608,"threshold_uncertainty_score":0.01967317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254067970793863,"score_gpt":0.2935907327260942,"score_spread":0.2610500530181556,"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."}}