{"id":"W2962133648","doi":"10.1002/adfm.201903327","title":"Morphodynamic Tissues via Integrated Programmable Shape Memory Actuators","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Cancer Society","keywords":"Materials science; Actuator; Biofabrication; Nanotechnology; Shape-memory polymer; Orientation (vector space); Shape-memory alloy; Tissue engineering; Microfluidics; Matrix (chemical analysis); Biological system; Computer science; Biomedical engineering; Artificial intelligence; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001409807,0.0003212068,0.0004071951,0.00008689386,0.00006031042,0.00006514181,0.0001366875,0.0001321036,0.005880657],"category_scores_gemma":[0.00001925834,0.0002985055,0.00005446975,0.0001576097,0.00002246909,0.0004549045,0.00004511038,0.00009838206,0.00124758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001268271,"about_ca_system_score_gemma":0.00002282338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001091985,"about_ca_topic_score_gemma":0.0000032099,"domain_scores_codex":[0.9986235,0.00002559481,0.000394789,0.0003262312,0.0002053902,0.0004245003],"domain_scores_gemma":[0.9994106,0.0000363818,0.00008140324,0.0002930641,0.00008430972,0.00009425774],"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":[0.0001357792,0.00002086047,0.000003156458,0.0001150125,0.00004039718,0.000004656574,0.00001752439,0.02335058,0.9557127,0.001120881,0.0001263997,0.01935207],"study_design_scores_gemma":[0.0008845676,0.0001653369,0.00006483483,0.00008036507,0.00002502954,0.00003278868,0.00008503711,0.005988159,0.9680276,0.003973997,0.02011931,0.0005529519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959137,0.0001607272,0.03076196,0.00001462773,0.007734328,0.0006146046,0.0001035984,0.0009378412,0.0005353214],"genre_scores_gemma":[0.9850656,0.0001142175,0.01268461,0.00006607795,0.0002221282,0.0001638142,0.0003724664,0.0001115131,0.001199561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02592863,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005089303626675533,"score_gpt":0.1926233529958735,"score_spread":0.1875340493691979,"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."}}