{"id":"W2164944975","doi":"10.5194/ms-1-5-2010","title":"From flapping wings to underactuated fingers and beyond: a broad look to self-adaptive mechanisms","year":2010,"lang":"en","type":"article","venue":"Mechanical sciences","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Underactuation; Flapping; Mechanism (biology); Computer science; Control engineering; Engineering; Artificial intelligence; Wing; Aerospace engineering; Robot; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004695363,0.0005037683,0.0006547431,0.0007810769,0.0003703942,0.002287607,0.0008501005,0.001485347,0.001840387],"category_scores_gemma":[0.0007785347,0.0003264059,0.0006101478,0.0006877849,0.002954146,0.003788922,0.001347458,0.002002539,0.0005922096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542186,"about_ca_system_score_gemma":0.0003018542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518424,"about_ca_topic_score_gemma":0.0001232625,"domain_scores_codex":[0.9996561,0.00008320501,0.00002853495,0.00009456315,0.0001149568,0.0000226696],"domain_scores_gemma":[0.9995313,0.000228829,0.00005483919,0.00008477087,0.00007042177,0.00002996366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006836844,0.0000579101,0.0007512891,0.001277963,0.00006164416,0.0005351566,0.001056576,0.009037097,0.0365028,0.6776865,0.003189569,0.2697752],"study_design_scores_gemma":[0.00002467496,0.000401405,0.001094553,0.0006751863,0.00006100096,0.00232303,0.0004630481,0.03910049,0.01874483,0.6748999,0.2620683,0.000143622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03409509,0.1756504,0.7287829,0.002749153,0.001132603,0.00006124764,0.00004407431,0.0005020938,0.05698249],"genre_scores_gemma":[0.5535884,0.1127156,0.2960961,0.004067674,0.001689868,0.0001786078,0.0001117569,0.0002451828,0.03130668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002287607,"threshold_uncertainty_score":0.006156683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689614211556885,"score_gpt":0.2426969683644427,"score_spread":0.2258008262488738,"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."}}