{"id":"W4246378939","doi":"10.32920/ryerson.14640912.v1","title":"Advancing biomimetic materials through ISO standards","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Biomimetics; Standardization; Consistency (knowledge bases); Function (biology); Quality (philosophy); International standardization; Engineering; Productivity; Engineering management; Business; Systems engineering; Management science; Computer science; Nanotechnology; Engineering ethics; Process management; Economics; Artificial intelligence; Materials science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001533631,0.0002597572,0.0003508961,0.00005449278,0.00004181522,0.000278797,0.000154596,0.0002318143,0.003014919],"category_scores_gemma":[0.00002947337,0.0002522705,0.00005951631,0.00005907243,0.00001248131,0.0001268292,0.0002281789,0.0001870967,0.000009101435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518317,"about_ca_system_score_gemma":0.00007876469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006783612,"about_ca_topic_score_gemma":0.0000161384,"domain_scores_codex":[0.9989224,0.00001622033,0.0003032999,0.0002859475,0.0002310554,0.0002410783],"domain_scores_gemma":[0.9994522,0.00001393912,0.00004705093,0.000342865,0.0001035762,0.00004037865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004803581,0.00001227781,0.000005807807,0.002829076,0.000102426,0.00001216452,0.0005328468,0.989051,0.003270813,0.000153791,0.001914836,0.00211013],"study_design_scores_gemma":[0.0002529365,0.00001306128,0.00005856913,0.0006080898,0.0000720834,0.000005535526,0.0001557558,0.02070085,0.9625606,0.001299505,0.01348838,0.0007846492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1013337,0.001962948,0.8687192,0.00008339737,0.003564901,0.000316837,0.0001650098,0.001193272,0.02266071],"genre_scores_gemma":[0.9381798,0.001908951,0.05886913,0.00006260437,0.0002093076,0.00004443487,0.0002654367,0.00009443639,0.0003659146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9683502,"threshold_uncertainty_score":0.999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008198806667024817,"score_gpt":0.243623461791497,"score_spread":0.2354246551244721,"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."}}