{"id":"W1997047708","doi":"10.1115/1.3046139","title":"Type Synthesis ofLinkage-Driven Self-Adaptive Fingers","year":2009,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Linkage (software); Kinematics; Computer science; Control engineering; Artificial intelligence; Electronics; Robotics; Robot; Engineering; Electrical 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":[0.0001405881,0.0002572062,0.0002371351,0.0002378513,0.0001660684,0.0003084666,0.0003638297,0.0003177695,0.002515497],"category_scores_gemma":[0.0002895819,0.0001431461,0.0002463406,0.0001377911,0.0002138918,0.0001914182,0.0002953088,0.0001724875,0.0003806609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147397,"about_ca_system_score_gemma":0.0001414625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008197801,"about_ca_topic_score_gemma":0.0001407434,"domain_scores_codex":[0.9998912,0.00001405579,0.000008021316,0.00002562409,0.00004985873,0.00001132001],"domain_scores_gemma":[0.9998585,0.00003450097,0.00003382514,0.00002818727,0.00003111355,0.00001378513],"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":[0.00005964387,0.0000789551,0.00041932,0.000358254,0.00003288458,0.0003625647,0.0001510894,0.07423963,0.8048764,0.0345662,0.0006765013,0.08417843],"study_design_scores_gemma":[0.00008942084,0.0006074426,0.0009443799,0.00005666528,0.00003467591,0.00055326,0.00004994755,0.5117115,0.4484258,0.01075177,0.02673187,0.00004322649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1560877,0.0003047364,0.8263447,0.00008278021,0.0001725048,0.0001662626,0.0001005709,0.0008062472,0.0159345],"genre_scores_gemma":[0.7191547,0.0001630577,0.2739644,0.00002613214,0.00001372148,0.0001154584,0.0000773615,0.0000657195,0.006419414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002515497,"threshold_uncertainty_score":0.008415163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441774356335809,"score_gpt":0.211601027777841,"score_spread":0.1971832842144829,"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."}}