{"id":"W2799280270","doi":"10.1139/tcsme-2015-0029","title":"DESIGN AND ANALYSIS OF CAM MECHANISM WITH TRANSLATING FOLLOWER HAVING DOUBLE ROLLERS","year":2015,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Pressure angle; Mechanism (biology); Kinematics; Machining; Machine tool; Computer science; Control theory (sociology); Mechanical engineering; Engineering; Physics; Classical mechanics; Artificial intelligence; Control (management)","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":[0.0004557667,0.0006451187,0.0006479875,0.0006043495,0.0003547118,0.0006810945,0.0009214823,0.0008569497,0.002028749],"category_scores_gemma":[0.0007018262,0.0002966108,0.0006275363,0.0002276026,0.0004489511,0.0002918299,0.0003565715,0.0002888608,0.0003005837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003207423,"about_ca_system_score_gemma":0.0007074964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009221051,"about_ca_topic_score_gemma":0.0006966681,"domain_scores_codex":[0.9997093,0.00003187553,0.00001314918,0.00004631153,0.0001647907,0.00003453315],"domain_scores_gemma":[0.9995725,0.00009236486,0.000153081,0.0000476151,0.000108816,0.00002568378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003772216,0.00009603339,0.004408893,0.0007546702,0.00007589552,0.001773282,0.0002798578,0.3618061,0.5163311,0.01734044,0.0008962464,0.09586027],"study_design_scores_gemma":[0.00006612627,0.001270197,0.003399419,0.00002952534,0.00006030721,0.0006166284,0.00007337998,0.9573833,0.03205485,0.001007329,0.004008655,0.00003028429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1924316,0.0004197349,0.8000681,0.00007076248,0.00007070413,0.0001935342,0.00004867805,0.0005827358,0.006114074],"genre_scores_gemma":[0.9308526,0.0001613069,0.06702914,0.000009606733,0.00001303481,0.00008181594,0.00002356281,0.00002056416,0.00180839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002028749,"threshold_uncertainty_score":0.006786883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003548229045679,"score_gpt":0.2315171751653797,"score_spread":0.2014816928749229,"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."}}