{"id":"W4396983482","doi":"10.69520/jipe.v4i2.133","title":"Regenerative Revolution","year":2022,"lang":"en","type":"article","venue":"Journal of innovation in polytechnic education.","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008223463,0.0000732126,0.0001874963,0.001162465,0.00007405335,0.000003927619,0.00007185186,0.00003017198,0.000216001],"category_scores_gemma":[0.0003922898,0.00006384941,0.00003027373,0.00229448,0.00002862777,0.00007501445,0.00001765153,0.0004772492,0.000001489379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091003,"about_ca_system_score_gemma":0.0009650428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007071918,"about_ca_topic_score_gemma":4.489719e-7,"domain_scores_codex":[0.9987053,0.00004775722,0.0007529671,0.00008078558,0.0003218162,0.00009143509],"domain_scores_gemma":[0.9988324,0.00002211552,0.0004306561,0.0001242811,0.0005580899,0.00003242944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003252711,0.002239224,0.0212981,0.0001325939,0.0001253848,0.00006003835,0.003061045,0.009460283,0.4024239,0.2149887,0.3061475,0.03973797],"study_design_scores_gemma":[0.006265367,0.004117391,0.2291471,0.000987858,0.0001629556,0.009179113,0.01390166,0.0008848801,0.04627487,0.003736945,0.6847249,0.0006169418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515185,0.01235323,0.01462889,0.01708475,0.003027055,0.0003221171,0.000002968609,0.00003247934,0.001029965],"genre_scores_gemma":[0.9835137,0.00003690784,0.007814626,0.0003318054,0.000619991,0.00003464953,0.00002009002,0.00001186914,0.007616322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3785775,"threshold_uncertainty_score":0.2603703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660547143147533,"score_gpt":0.3071448929210106,"score_spread":0.2905394214895353,"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."}}