{"id":"W3115111282","doi":"10.1115/1.4049441","title":"Modeling of a Complete Morphing Mechanism Covered by a Paneled Morphing Skin","year":2020,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China; Bombardier","keywords":"Morphing; Mechanism (biology); Workspace; Kinematics; Computer science; Actuator; Structural engineering; Mechanical engineering; Engineering; Artificial intelligence; Physics; Robot; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001217446,0.000308234,0.0002933639,0.0002577121,0.0001982623,0.0003566706,0.0005836514,0.0006976899,0.002615001],"category_scores_gemma":[0.0001716571,0.000200944,0.0005951764,0.0001042282,0.000384073,0.0003214782,0.0003544926,0.0002594633,0.0003078367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572781,"about_ca_system_score_gemma":0.0003467316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008900436,"about_ca_topic_score_gemma":0.0004653532,"domain_scores_codex":[0.9999329,0.00001117961,0.000004127081,0.00001856543,0.00002471137,0.000008499954],"domain_scores_gemma":[0.9999349,0.0000168738,0.0000144726,0.00001749518,0.000009283987,0.000006972036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000269161,0.00002024438,0.0005350107,0.00005475923,0.0000192466,0.0002686213,0.00005424993,0.9364999,0.04442393,0.009120035,0.00010781,0.00886927],"study_design_scores_gemma":[0.000006668748,0.00003716387,0.0002705288,0.000005725894,0.000006592796,0.00009977755,0.00001200984,0.994337,0.002867382,0.0008910348,0.001459033,0.000007113287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1191154,0.0001502856,0.8714995,0.00006579689,0.0000466126,0.00008645878,0.0001375313,0.0004447027,0.008453671],"genre_scores_gemma":[0.8940588,0.0002306312,0.09858543,0.00002370751,0.00001005441,0.0001566437,0.00008313968,0.0000594546,0.006792147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002615001,"threshold_uncertainty_score":0.008748055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778432395412368,"score_gpt":0.2226205106768843,"score_spread":0.1948361867227607,"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."}}