{"id":"W4312883765","doi":"10.1007/978-3-031-09544-3_1","title":"Introduction to Kinematic Synthesis","year":2022,"lang":"en","type":"book-chapter","venue":"Mathematical engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Kinematics; Conceptual design; Computer science; Engineering drawing; Systems engineering; Control engineering; Mechanical engineering; Engineering; Human–computer interaction; Physics; Classical mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001803061,0.0004193537,0.000583063,0.0002585344,0.00004095648,0.00004308951,0.0002344054,0.0001749535,0.01170427],"category_scores_gemma":[0.0001640722,0.000447043,0.0001534719,0.00006354095,0.000007909443,0.00005299751,0.0001081873,0.0004490892,0.0009918059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307691,"about_ca_system_score_gemma":0.000008336786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.718592e-7,"about_ca_topic_score_gemma":1.785094e-7,"domain_scores_codex":[0.9985682,0.000003123137,0.0004655349,0.000289107,0.000364269,0.0003097557],"domain_scores_gemma":[0.9990726,0.0001588276,0.00003344556,0.0005325708,0.00001833604,0.0001841871],"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":[6.600851e-7,0.000003941002,2.025513e-9,0.0006135253,0.00004764141,0.000009440395,0.00002767681,0.5173476,0.000107696,0.4793668,0.001762826,0.0007121385],"study_design_scores_gemma":[0.00005800022,0.00003509783,2.422726e-7,0.0003445286,0.0001474633,0.00007069116,0.000007058394,0.865612,0.00007028085,0.02901618,0.1038266,0.0008118725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000006218373,0.00008415196,0.7592303,0.000309749,0.0008957944,0.0004049653,0.00002163863,0.0009957907,0.2380514],"genre_scores_gemma":[0.0004619271,0.0001256161,0.7417547,0.00009441862,0.003382063,0.0006605343,0.00006880421,0.001273181,0.2521788],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4503507,"threshold_uncertainty_score":0.9997981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006956442204451531,"score_gpt":0.1697674472301048,"score_spread":0.1628110050256533,"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."}}