{"id":"W2171103287","doi":"10.1017/s0263574700002964","title":"Development of a sliding-leg tripod as an add-on device for manufacturing","year":2001,"lang":"en","type":"article","venue":"Robotica","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Tripod (photography); Workspace; Kinematics; Machine tool; Cartesian coordinate system; Inverse kinematics; Computer science; Flexibility (engineering); Control engineering; Robot; Simulation; Engineering; Mechanical engineering; Artificial intelligence","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":[0.000265249,0.0003670667,0.0003066594,0.0004152435,0.0002434027,0.0005295618,0.001250432,0.0004544706,0.007920117],"category_scores_gemma":[0.0004383501,0.0002222402,0.0003107162,0.0001398078,0.000220893,0.0006462563,0.0004411249,0.0004272926,0.001260195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471256,"about_ca_system_score_gemma":0.0002681495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002814936,"about_ca_topic_score_gemma":0.0003715032,"domain_scores_codex":[0.9997891,0.00002557967,0.00001462417,0.00003938673,0.0001085536,0.00002274064],"domain_scores_gemma":[0.9996383,0.00007484287,0.00002934478,0.00007216787,0.0001326798,0.00005272427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005159837,0.0001955159,0.001650319,0.000923434,0.00007660266,0.0006940285,0.0003346486,0.005250157,0.5153062,0.01232026,0.005418303,0.4573145],"study_design_scores_gemma":[0.0002994698,0.008503197,0.008610883,0.000259421,0.0002273781,0.005256082,0.0003212367,0.230554,0.4909025,0.004364257,0.2504621,0.0002395105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09484392,0.0006959573,0.8824044,0.0001954362,0.0004276863,0.0006465805,0.0003213728,0.00291731,0.01754729],"genre_scores_gemma":[0.4991237,0.0004501165,0.4838598,0.0001835573,0.00007739326,0.0003393971,0.0003700051,0.0001392032,0.01545684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007920117,"threshold_uncertainty_score":0.02649546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759193425760156,"score_gpt":0.257521723101712,"score_spread":0.2299297888441104,"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."}}