{"id":"W2902661708","doi":"10.1139/tcsme-2017-507","title":"THE VARIATOR WITH LEVER MECHANISMS","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lever; Range (aeronautics); Control theory (sociology); Mechanism (biology); Computer science; Engineering; Physics; Mechanical engineering; Control (management); Artificial intelligence","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":[0.00136791,0.0007595436,0.0008685738,0.001119834,0.0008546937,0.001671735,0.002355192,0.001745239,0.01462259],"category_scores_gemma":[0.00188522,0.0006149002,0.0007333632,0.001048869,0.001832155,0.003803909,0.002342348,0.001554155,0.004366329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235014,"about_ca_system_score_gemma":0.0005415042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001853697,"about_ca_topic_score_gemma":0.0001678365,"domain_scores_codex":[0.9986975,0.0002343058,0.00005345957,0.0003776406,0.0005303657,0.0001068409],"domain_scores_gemma":[0.9990475,0.0003246574,0.0001068372,0.0003032779,0.0001479058,0.00006988509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007470826,0.0001188086,0.001282626,0.0009231576,0.00009645492,0.0005021905,0.0005852371,0.00487457,0.2621985,0.4102244,0.009804121,0.3086429],"study_design_scores_gemma":[0.0001944382,0.002869816,0.003077477,0.000433515,0.0002508162,0.006512839,0.0002151832,0.07455996,0.335711,0.06929058,0.5063781,0.0005062775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02893414,0.00464866,0.9124711,0.0008884053,0.0007717539,0.000253668,0.0002969299,0.003830147,0.04790524],"genre_scores_gemma":[0.4734554,0.003271889,0.4492287,0.001021231,0.000604126,0.0006464535,0.0003369411,0.0005494105,0.07088587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01462259,"threshold_uncertainty_score":0.04891747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955826282297729,"score_gpt":0.2191445874475664,"score_spread":0.1995863246245891,"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."}}