{"id":"W2803086155","doi":"10.1139/tcsme-2004-0034","title":"ON THE CURVATURE ANALYSIS OF VARIABLE PITCH LEAD SCREW MECHANISMS WITH MESHING ELEMENTS IN BOTH RECIPROCATION AND OSCILLATION FOR AVOIDING UNDERCUTTING","year":2004,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curvature; Translation (biology); Mechanism (biology); Oscillation (cell signaling); Variable (mathematics); Computer science; Mechanical engineering; Engineering; Geometry; Physics; Mathematics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007606463,0.0001292146,0.0002318288,0.0001280313,0.0002192718,0.00002688218,0.0001210725,0.0001113332,0.000002781333],"category_scores_gemma":[0.00008976661,0.00009953479,0.0001808455,0.0007088214,0.00001235548,0.00009785083,0.000002279555,0.0002592357,3.932402e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004538137,"about_ca_system_score_gemma":0.00006596599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085929,"about_ca_topic_score_gemma":0.01416368,"domain_scores_codex":[0.9991861,0.00001773969,0.0002880129,0.0001430261,0.0001362971,0.0002288316],"domain_scores_gemma":[0.9993593,0.0003051728,0.00007142435,0.000156992,0.00005896865,0.00004814366],"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":[0.000006381666,0.000004438487,0.000007385805,0.0001128503,0.0005014947,2.355245e-8,0.0006748284,0.9319631,0.01970647,0.04688915,0.000002481187,0.0001313724],"study_design_scores_gemma":[0.0005599693,0.00005844054,0.00007447071,0.0003038479,0.0003700363,6.909738e-7,0.0003777118,0.9908889,0.005333265,0.001858691,0.00004592338,0.0001280383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03125176,0.0000511005,0.9675463,0.0002961696,0.0001092639,0.0006524496,0.00004833239,0.00003064205,0.00001399244],"genre_scores_gemma":[0.9685485,0.000003564865,0.03125753,0.00003982792,0.00001198503,0.00009154463,0.000006868189,0.00002944238,0.00001078196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372967,"threshold_uncertainty_score":0.7903664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009100842711659594,"score_gpt":0.1992526878400961,"score_spread":0.1901518451284366,"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."}}