{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006696243,0.0002442014,0.00007874861,0.0001345864,0.00008722308,0.0002449761,0.000334793,0.0002193207,0.0007053209],"category_scores_gemma":[0.0001168027,0.0001490075,0.0000907579,0.00008247899,0.0002098869,0.0002009388,0.0002435612,0.0002223788,0.0002083051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862837,"about_ca_system_score_gemma":0.0001301509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202413,"about_ca_topic_score_gemma":0.0005792262,"domain_scores_codex":[0.9999506,0.000004448288,0.000003010451,0.00001397273,0.00001759638,0.00001032546],"domain_scores_gemma":[0.9999299,0.00001578294,0.00002804298,0.000007863773,0.000009182904,0.000009222609],"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":[0.00001590281,0.000008520559,0.00005538618,0.00001696661,0.000001911216,0.00003525643,0.000009313647,0.0006116252,0.9953117,0.000438683,0.00008945643,0.003405335],"study_design_scores_gemma":[0.00001142146,0.00008722923,0.0004302252,0.000003226621,0.000004794959,0.00006756268,0.000009053324,0.01471813,0.9809207,0.0001862124,0.003552338,0.000009107013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109063,0.001229498,0.07790941,0.000199437,0.0001641687,0.00005583891,0.0001441306,0.0007622208,0.008629008],"genre_scores_gemma":[0.978668,0.0002777252,0.01696439,0.00007121875,0.00001912041,0.00004048209,0.00004455391,0.00002995156,0.003884554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007053209,"threshold_uncertainty_score":0.002359569,"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."}}