{"id":"W2559833318","doi":"10.1115/detc2016-59334","title":"Design and Analysis of a Sliding Panel Shape Morphing Mechanism System","year":2016,"lang":"en","type":"article","venue":"","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hexapod; Morphing; Computer science; Mechanism (biology); Linkage (software); Base (topology); Structural engineering; Control theory (sociology); Engineering; Artificial intelligence; Mathematics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009738207,0.00006682945,0.0001893019,0.0001895741,0.00002239748,0.00001298445,0.0000397258,0.00003029737,0.0001138668],"category_scores_gemma":[0.000006627207,0.00003923831,0.00005142805,0.0003448635,0.000003865985,0.00008172512,0.0000110964,0.00001290019,0.000001421395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002379331,"about_ca_system_score_gemma":0.000001296409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001044963,"about_ca_topic_score_gemma":0.000001459417,"domain_scores_codex":[0.9995902,0.00001351802,0.0001548373,0.00008905025,0.00007342771,0.00007895298],"domain_scores_gemma":[0.9997869,0.00005361473,0.00002748519,0.00007876627,0.00002571862,0.0000275737],"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":[0.00000611865,0.000002562797,0.0009625246,0.00008691329,0.002223474,0.000002979811,0.0002577674,0.5255495,0.4279965,0.02792167,0.00001900937,0.01497096],"study_design_scores_gemma":[0.00006786516,0.00000452313,0.0007457566,0.00001983937,0.0004603419,0.00000111579,0.00006494208,0.9780199,0.02048665,0.00006370099,8.181838e-7,0.00006454444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2331754,0.00004021938,0.7664841,0.000008698437,0.00002005597,0.0000317777,0.000001375214,0.00008071875,0.0001576874],"genre_scores_gemma":[0.9821528,0.00003817929,0.0177516,0.000003158883,0.000007935277,0.000002233172,0.000001391055,0.000006781035,0.00003594684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7489774,"threshold_uncertainty_score":0.1600092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.022331298487093,"score_gpt":0.1866998660207134,"score_spread":0.1643685675336204,"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."}}