{"id":"W3120768630","doi":"10.1038/s41467-020-20256-3","title":"Direct printing of functional 3D objects using polymerization-induced phase separation","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Carleton University; National Research Council Canada","funders":"","keywords":"3D printing; Materials science; Fabrication; Nanotechnology; Polymerization; Computer science; Functional polymers; Polymer; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008416053,0.0001029331,0.000133306,0.0001056541,0.0001810861,0.00002290001,0.0002661298,0.0001866998,0.00002646418],"category_scores_gemma":[0.000317039,0.0001152773,0.00004963054,0.0003665209,0.000049511,0.0001011144,0.0001824538,0.0004699018,0.000003537911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004346953,"about_ca_system_score_gemma":0.00004896255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004666075,"about_ca_topic_score_gemma":0.00002422203,"domain_scores_codex":[0.9994033,0.00004927303,0.0002033273,0.0001196749,0.000109014,0.000115392],"domain_scores_gemma":[0.9987504,0.0001815221,0.00007292044,0.0008248372,0.0001506307,0.00001972176],"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":[0.000005506429,0.0001845904,0.0006504849,0.00006056771,0.0001709754,0.000001901,0.0003669662,0.0111196,0.9577617,0.005876698,0.000320669,0.02348031],"study_design_scores_gemma":[0.0002383098,0.000009149188,0.002287156,0.00005650474,0.00003066483,0.00000824146,0.000156428,0.04625947,0.9483317,0.0001073202,0.002361378,0.0001537479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485012,0.003421297,0.02620228,0.0002667082,0.0005037611,0.0001710779,0.00004606161,0.001178984,0.01970863],"genre_scores_gemma":[0.9815009,0.0001063072,0.01813316,0.0000189825,0.00003571679,0.00001069349,0.0001447491,0.00001894569,0.00003054037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03513986,"threshold_uncertainty_score":0.4700873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03924411341212904,"score_gpt":0.3164564512803098,"score_spread":0.2772123378681808,"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."}}