{"id":"W4365936218","doi":"10.1007/978-3-031-29815-8_10","title":"Throwing Capabilities of Manipulators","year":2023,"lang":"en","type":"book-chapter","venue":"Mechanisms and machine science","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université de Moncton","funders":"","keywords":"Throwing; Kinematics; Workspace; Jerk; Acceleration; Trajectory; Position (finance); Control theory (sociology); Computer science; Process (computing); Mathematics; Engineering; Artificial intelligence; Robot; Control (management); Physics; Mechanical engineering; 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"],"consensus_categories":[],"category_scores_codex":[0.0004343652,0.0002829654,0.0003763692,0.0002795383,0.0001277019,0.00004588684,0.0002959037,0.000139923,0.00009989747],"category_scores_gemma":[0.00001987348,0.0002578311,0.00007588408,0.00009353998,0.0002296804,0.0001238339,0.0001782407,0.0002101032,0.00001814565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004383324,"about_ca_system_score_gemma":0.0000443802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000346721,"about_ca_topic_score_gemma":0.00003009079,"domain_scores_codex":[0.9986116,0.000002643451,0.0003080188,0.0003530002,0.0004323873,0.0002923075],"domain_scores_gemma":[0.9993873,0.00003475406,0.00006521861,0.0003400444,0.0000503731,0.0001223695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[7.449799e-7,0.000001536861,4.928389e-7,0.000148014,0.00001142083,0.000005293951,0.00009237575,0.006828777,0.002796161,0.9874151,0.00001416709,0.002685875],"study_design_scores_gemma":[0.0001168602,0.0000953717,0.000014939,0.0002087372,0.00004323428,0.00001775927,0.00006785736,0.1823429,0.001333702,0.8149368,0.0003544245,0.0004674532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0005308457,0.0007460807,0.5746405,0.00005151097,0.003849502,0.0006079179,0.0001644156,0.0009127409,0.4184965],"genre_scores_gemma":[0.1392106,0.003416354,0.2975245,0.0001748468,0.0003358724,0.00004172575,0.00007202273,0.0007849566,0.5584392],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.277116,"threshold_uncertainty_score":0.9999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752920876068079,"score_gpt":0.2039053353240848,"score_spread":0.186376126563404,"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."}}