{"id":"W2047815456","doi":"10.4271/2013-01-1722","title":"Valve Lift Profile Development and Optimization Using Matlab","year":2013,"lang":"en","type":"article","venue":"SAE International Journal of Engines","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"MATLAB; Lift (data mining); Computer science; Automotive engineering; Aerospace engineering; Marine engineering; Simulation; Engineering; Data mining","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":[0.0006282773,0.0008533949,0.0006392322,0.0006751074,0.0004626748,0.0008962657,0.001112044,0.0006709772,0.01742662],"category_scores_gemma":[0.001559133,0.0005858637,0.0006848446,0.0003776939,0.0002695167,0.000540329,0.0006295723,0.0009406651,0.004535811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006225559,"about_ca_system_score_gemma":0.001224526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003356775,"about_ca_topic_score_gemma":0.003067696,"domain_scores_codex":[0.9997428,0.00003651872,0.00001859752,0.00003743819,0.0001297561,0.00003480177],"domain_scores_gemma":[0.9993849,0.0002476085,0.0000521127,0.0000570663,0.0002396275,0.0000187644],"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":[0.0001124848,0.00007889659,0.0009803898,0.0005265301,0.00004149312,0.0002468087,0.0002753497,0.8563436,0.02514866,0.01329842,0.008577886,0.09436952],"study_design_scores_gemma":[0.00002644215,0.00003684683,0.0002431749,0.0000334025,0.000008032794,0.00005491219,0.00003379627,0.9727885,0.01169432,0.001402352,0.01365917,0.00001916063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01581082,0.0000669018,0.954477,0.0001071435,0.00004957189,0.0001672954,0.0006279423,0.01063316,0.01806006],"genre_scores_gemma":[0.2342227,0.0002346595,0.738325,0.00007939537,0.00002395737,0.001134442,0.001121017,0.004977525,0.01988133],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01742662,"threshold_uncertainty_score":0.05829781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194667293464895,"score_gpt":0.2242243071188456,"score_spread":0.2122776341841967,"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."}}