{"id":"W4388913077","doi":"10.1002/adhm.202303708","title":"High‐Resolution Additive Manufacturing of a Biodegradable Elastomer with A Low‐Cost LCD 3D Printer","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Computer Research Institute of Montréal; University of Toronto; McGill University; Polytechnique Montréal; McGill Genome Centre","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"3d printer; Elastomer; Materials science; 3D printing; Liquid-crystal display; Resolution (logic); Composite material; Computer science; Mechanical engineering; Engineering; Optoelectronics; Artificial intelligence","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"],"consensus_categories":[],"category_scores_codex":[0.0001695831,0.0002930411,0.0004590751,0.0002908399,0.0001047632,0.00002690232,0.0002096857,0.0001455133,0.000116061],"category_scores_gemma":[0.00004337015,0.0002510266,0.00004107062,0.0002315284,0.0001035574,0.0001742791,0.0001271572,0.0001949388,0.0001373079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253161,"about_ca_system_score_gemma":0.00002268855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001406054,"about_ca_topic_score_gemma":0.00005422777,"domain_scores_codex":[0.9984066,0.00004687806,0.0004115519,0.0003416039,0.0001994359,0.0005939362],"domain_scores_gemma":[0.9992135,0.0001012383,0.0001420083,0.0004007141,0.00007178585,0.00007076208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00117867,0.0001377691,0.0003034287,0.00736691,0.0006286066,0.0002337739,0.001738041,0.07234654,0.2676425,0.004039706,0.003099318,0.6412848],"study_design_scores_gemma":[0.0004065422,0.0001051713,0.004689847,0.0005262858,0.00001009248,0.000007511304,0.0002046593,0.00009122037,0.9898474,0.0006405844,0.00318888,0.0002818473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923795,0.00005266111,0.003280777,0.0002187954,0.0005743768,0.0005382482,0.0005452991,0.002287087,0.0001231913],"genre_scores_gemma":[0.9928702,0.0002680242,0.006194943,0.00002751803,0.00007282649,0.0002327858,0.0001570546,0.00007532196,0.0001013125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7222049,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247983419342833,"score_gpt":0.2441901720260463,"score_spread":0.2317103378326179,"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."}}