{"id":"W4386811656","doi":"10.1088/1361-665x/acfa7c","title":"Focus on 4D materials design and additive manufacturing","year":2023,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Aerospace; 3D printing; Automotive industry; Focus (optics); Field (mathematics); 3d printed; Adaptability; Robotics; Manufacturing engineering; Engineering; Computer science; Systems engineering; Mechanical engineering; Nanotechnology; Robot; Artificial intelligence; Aerospace engineering; Materials science; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001556943,0.001120734,0.0008778232,0.002377287,0.0006407437,0.0028166,0.001164278,0.002151492,0.02307652],"category_scores_gemma":[0.001216428,0.0005497278,0.0008357156,0.001970422,0.00107834,0.003083712,0.001958152,0.002429364,0.009141743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340128,"about_ca_system_score_gemma":0.0009040555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002919932,"about_ca_topic_score_gemma":0.000480037,"domain_scores_codex":[0.998719,0.0001640882,0.00006618001,0.0002270693,0.0007206943,0.0001030894],"domain_scores_gemma":[0.9988315,0.000356055,0.0001048009,0.0001022602,0.0005002033,0.000105279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008391992,0.0001704393,0.0003940565,0.004782206,0.00006158613,0.0003932098,0.0003657008,0.003559991,0.04427091,0.1892545,0.1023522,0.6543113],"study_design_scores_gemma":[0.000006295266,0.000104348,0.0002197315,0.0005110833,0.00001331567,0.000555706,0.00006031637,0.001247664,0.0101942,0.01710242,0.9699593,0.00002561227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.00733499,0.6227142,0.1031135,0.01300231,0.01960436,0.0002168457,0.0003262546,0.0008255229,0.2328621],"genre_scores_gemma":[0.05589239,0.5700252,0.09300575,0.007504674,0.01442669,0.0003723793,0.0006986148,0.0006646658,0.2574096],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02307652,"threshold_uncertainty_score":0.07719862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150067427562197,"score_gpt":0.2146496629163035,"score_spread":0.2031489886406815,"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."}}