{"id":"W2966214135","doi":"10.1002/adhm.201900538","title":"Improving the Rate of Translation of Tissue Engineering Products","year":2019,"lang":"en","type":"review","venue":"Advanced Healthcare Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scope (computer science); Variety (cybernetics); Engineering ethics; Chart; Translational research; Computer science; Data science; Engineering; Medicine; Artificial intelligence; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001179142,0.0003033208,0.001456741,0.0001747911,0.00002348084,0.00001582369,0.0004241673,0.0002599002,0.00002913555],"category_scores_gemma":[0.0004425577,0.0002204348,0.00008767123,0.0004182738,0.00004877402,0.00007697121,0.00006653389,0.000313334,0.00002220391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009224675,"about_ca_system_score_gemma":0.0001873727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006777766,"about_ca_topic_score_gemma":0.000002281249,"domain_scores_codex":[0.9977429,0.000195237,0.001124741,0.0002800602,0.000259187,0.0003978941],"domain_scores_gemma":[0.9983194,0.0005178823,0.0003265207,0.000635471,0.0001385692,0.00006210159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003273149,0.000003232998,5.502969e-8,0.2134127,0.00003240772,7.117594e-7,0.00004491005,0.0001602732,0.04636011,0.00009011913,0.000006115327,0.7398861],"study_design_scores_gemma":[0.0001928095,0.0001083508,0.000005810794,0.02155071,0.0001359026,0.000007869404,0.000009299382,0.0001169517,0.1764955,0.00003088958,0.8009421,0.0004037861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004154333,0.9954399,0.0004237726,0.00006219374,0.0014537,0.001910084,0.0001687974,0.0001090781,0.00001705088],"genre_scores_gemma":[0.00251766,0.9941671,0.00276899,0.000003723095,0.0001876427,0.0001258378,0.00008723693,0.0001177868,0.00002399754],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.800936,"threshold_uncertainty_score":0.8989069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06806501591310758,"score_gpt":0.3672656267289656,"score_spread":0.299200610815858,"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."}}