{"id":"W2137090979","doi":"10.1109/pacrim.1991.160705","title":"Characterization of the workspace for planar robot manipulators","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workspace; Kinematics; Boundary (topology); Set (abstract data type); Computer science; Robot; Planar; Characterization (materials science); Robot kinematics; Artificial intelligence; Mathematics; Mathematical analysis; Mobile robot; Physics; Computer graphics (images)","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":[0.0004608519,0.0006052433,0.0004323303,0.001347803,0.0003434971,0.001207083,0.0005776352,0.0004949758,0.003178488],"category_scores_gemma":[0.001446734,0.0002411024,0.0005840103,0.0006270563,0.000917748,0.001235642,0.00105419,0.0007489477,0.001464687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002336287,"about_ca_system_score_gemma":0.000354309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002533392,"about_ca_topic_score_gemma":0.0001725961,"domain_scores_codex":[0.9994931,0.0001134318,0.00003658876,0.00008195434,0.0002262305,0.00004859039],"domain_scores_gemma":[0.9995085,0.0001677356,0.00008821925,0.00006292762,0.0001326998,0.00003990321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007020903,0.00002713261,0.0005960243,0.000261732,0.00001673584,0.0005500754,0.0003907319,0.1046628,0.05028044,0.747447,0.002737166,0.09295988],"study_design_scores_gemma":[0.00002971997,0.0001716338,0.001082412,0.0001673676,0.0000135956,0.001843889,0.0001799012,0.3425,0.02440737,0.589421,0.04009143,0.00009163872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02568899,0.0006735834,0.9607315,0.0000870661,0.00001916075,0.00002894827,0.0001916078,0.0002179264,0.01236121],"genre_scores_gemma":[0.6162456,0.001359901,0.3647596,0.00009677498,0.00009974227,0.0002572628,0.001222761,0.00036538,0.01559294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003178488,"threshold_uncertainty_score":0.01063305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551082837352344,"score_gpt":0.1729607675669546,"score_spread":0.1574499391934311,"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."}}