{"id":"W4200414718","doi":"10.1109/icmeas54189.2021.00041","title":"Mechanical Design of a Novel 4DOF Serial Manipulator","year":2021,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Carving; Workspace; Computer science; Robotic arm; Forward kinematics; Serial manipulator; Kinematics; Robot end effector; Table (database); Inverse kinematics; Robotics; Robot; Artificial intelligence; Transformation (genetics); SMT placement equipment; Industrial robot; Parallel manipulator; Computer vision; Engineering; Mechanical engineering","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":[0.0002707439,0.0006474273,0.000341567,0.0005796297,0.0004608799,0.0003898279,0.0008380605,0.0007665276,0.005802147],"category_scores_gemma":[0.0001516213,0.0003117491,0.0003847949,0.0002462831,0.0002775082,0.0004369227,0.0004386387,0.00034343,0.001954843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180449,"about_ca_system_score_gemma":0.0005011346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005482198,"about_ca_topic_score_gemma":0.0006051761,"domain_scores_codex":[0.9997452,0.00002170999,0.00001335132,0.00006920641,0.0001288565,0.00002173962],"domain_scores_gemma":[0.9999101,0.000008387527,0.00002328867,0.00001127123,0.00003327483,0.00001366044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002630734,0.0001620726,0.001639683,0.0009084861,0.00008226612,0.001652912,0.0003661941,0.07972963,0.4091152,0.04258945,0.007872968,0.455618],"study_design_scores_gemma":[0.0003671735,0.003750719,0.005473599,0.000224181,0.0001268572,0.007287869,0.0001872744,0.5568045,0.09669627,0.01077348,0.3180493,0.000258901],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01763755,0.0005558268,0.9607937,0.000213053,0.0002443403,0.0002318353,0.00008132404,0.001108123,0.01913431],"genre_scores_gemma":[0.2679856,0.0008085175,0.7006906,0.0001787722,0.0001488922,0.0005478344,0.0002959388,0.00008224686,0.02926164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005802147,"threshold_uncertainty_score":0.01941013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03490491960032376,"score_gpt":0.2193964822595975,"score_spread":0.1844915626592738,"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."}}