{"id":"W2085206554","doi":"10.1016/j.jmatprotec.2008.04.001","title":"Employing the Taguchi method in optimizing the scaffold production process for artificial bone grafts","year":2008,"lang":"en","type":"article","venue":"Journal of Materials Processing Technology","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Taguchi methods; Porosity; Design of experiments; Materials science; Process (computing); Process variable; Process engineering; Computer science; Engineering; Composite material; Mathematics; Statistics","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":[0.001776083,0.0002357233,0.0005302877,0.0004202009,0.00024184,0.00008959161,0.0004757529,0.0002134331,0.000007157857],"category_scores_gemma":[0.0004205451,0.0001526868,0.00005499765,0.0005441936,0.0001331779,0.0003059859,0.00004385205,0.0002891538,0.000002336745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008401017,"about_ca_system_score_gemma":0.00007418425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002568056,"about_ca_topic_score_gemma":0.000002891009,"domain_scores_codex":[0.9981863,0.00006473253,0.0009595241,0.0001808628,0.0002129554,0.0003956305],"domain_scores_gemma":[0.9990658,0.00007025353,0.0003995749,0.0002490664,0.0001873857,0.00002787443],"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":[0.00009019695,0.0000354099,0.00001740098,0.0003562598,0.00003597305,0.00002662164,0.001075316,0.07074658,0.9199894,0.0001650888,0.0001997424,0.00726199],"study_design_scores_gemma":[0.000290149,0.00007284649,0.00008905266,0.0002996747,0.00004249765,0.001684132,0.0003253792,0.001805764,0.9897574,0.005012668,0.0004181566,0.0002022782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680915,0.001153609,0.02625113,0.00219359,0.00156691,0.0004339028,0.000003390395,0.0002981458,0.000007833944],"genre_scores_gemma":[0.9735839,0.00007749324,0.02563899,0.00001661718,0.0004877996,0.00010478,9.647106e-7,0.00007609821,0.00001332316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06976798,"threshold_uncertainty_score":0.6226389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974626556090455,"score_gpt":0.2836984858228879,"score_spread":0.2539522202619834,"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."}}