{"id":"W4392108433","doi":"10.15173/m.v1i42.3272","title":"DNA Origami","year":2022,"lang":"en","type":"article","venue":"The Meducator","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Peer review; Biology; Evolutionary biology; Computational biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002649497,0.0005086576,0.0003401164,0.0005095286,0.0005716278,0.00111752,0.0005903227,0.0008688569,0.01040135],"category_scores_gemma":[0.0006217397,0.0002603658,0.0002562836,0.000308681,0.0004323023,0.0007568651,0.0007270382,0.001087304,0.006975766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005033526,"about_ca_system_score_gemma":0.0003991311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002194259,"about_ca_topic_score_gemma":0.0003985152,"domain_scores_codex":[0.9996978,0.00002656043,0.00001568242,0.00006807353,0.0001536588,0.00003821133],"domain_scores_gemma":[0.9998834,0.00001831491,0.00001735526,0.00002424416,0.0000316695,0.00002490402],"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":[0.0001593664,0.00007174507,0.0003835495,0.0003182161,0.00002771019,0.0002210313,0.0002072962,0.0004833071,0.6732824,0.08662707,0.02053048,0.2176878],"study_design_scores_gemma":[0.0000215693,0.0001983922,0.0005723237,0.00006026446,0.00002395875,0.0007380359,0.00004734526,0.002077794,0.5051532,0.01036306,0.4807023,0.00004168676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1595298,0.03542874,0.2796191,0.00797788,0.01202703,0.0004488553,0.002644358,0.006587862,0.4957362],"genre_scores_gemma":[0.4883434,0.01122094,0.1054408,0.005154516,0.0008762539,0.0003627622,0.002895846,0.0006006742,0.3851047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01040135,"threshold_uncertainty_score":0.03479594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005894033573497375,"score_gpt":0.1864431198844941,"score_spread":0.1805490863109967,"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."}}