{"id":"W3089403702","doi":"10.1002/aisy.202000148","title":"Liquid Crystal Polymer‐Based Soft Robots","year":2020,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Reconfigurability; Robot; Soft robotics; Adaptability; Computer science; Soft materials; Liquid crystal; Artificial intelligence; Nanotechnology; Materials science; Mechanical engineering; Control engineering; Engineering","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":[0.00008199639,0.0002285707,0.0002319461,0.0002871472,0.000157773,0.0004691175,0.0001813301,0.0003290852,0.00254232],"category_scores_gemma":[0.0001841445,0.0001276895,0.0001437802,0.0002238108,0.0003363448,0.0006184546,0.0004241568,0.0005313501,0.0007123254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002880171,"about_ca_system_score_gemma":0.0002461094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003213538,"about_ca_topic_score_gemma":0.0007190038,"domain_scores_codex":[0.9999138,0.00001051432,0.000005682693,0.00001916289,0.00003904978,0.00001171569],"domain_scores_gemma":[0.9999377,0.00001845892,0.00001758049,0.00000489995,0.00001122939,0.00001026765],"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":[0.0001812126,0.00009272088,0.0003314676,0.001529888,0.00003873285,0.0002503268,0.00007621363,0.01478978,0.7475187,0.04112197,0.002694998,0.1913739],"study_design_scores_gemma":[0.00005740309,0.0007058415,0.0010668,0.0002075814,0.00005299823,0.0004088847,0.00008011833,0.09598179,0.7159182,0.009488055,0.1759466,0.00008575741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4133313,0.1226228,0.2912674,0.002409567,0.001367087,0.0002879704,0.0005018883,0.001746185,0.1664658],"genre_scores_gemma":[0.8830757,0.0265389,0.06235535,0.0004320584,0.0001775757,0.0001444608,0.0002073735,0.00006598659,0.02700249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00254232,"threshold_uncertainty_score":0.008504868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859083027134891,"score_gpt":0.2238026913514416,"score_spread":0.2052118610800927,"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."}}