{"id":"W178935713","doi":"","title":"Development and Modeling of a Polymer Construct for Perfusion Imaging and Tissue Engineering.","year":2014,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; McGill University","keywords":"Construct (python library); Biomedical engineering; Tissue engineering; Computer science; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001356288,0.00004391576,0.00009817665,0.00004748088,0.000208354,0.000004421065,0.00006061847,0.00002297756,0.000002275859],"category_scores_gemma":[0.00001755336,0.0000558733,0.00001269705,0.00004542003,0.00009114631,0.00005763056,0.00004426804,0.00002899911,1.913253e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006243365,"about_ca_system_score_gemma":0.00002150589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398724,"about_ca_topic_score_gemma":0.0007141549,"domain_scores_codex":[0.9996731,0.0000110335,0.00005045827,0.00010223,0.00006534022,0.00009786102],"domain_scores_gemma":[0.9997917,0.00004754679,0.00004110743,0.00003725744,0.00003838316,0.00004404459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002921645,0.00002416863,0.0002234051,0.0001029445,0.00002605207,0.000001880736,0.4712301,0.003633472,0.01588675,0.01431041,0.000001318872,0.4945303],"study_design_scores_gemma":[0.0006822721,0.00002460497,0.0001053079,0.00008378804,0.00002374648,0.000002949283,0.1283937,0.8621913,0.003314461,0.0002781499,0.004722003,0.0001777655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7581163,0.000174475,0.2414775,0.00005491464,0.00002836232,0.00004196746,0.000001041851,0.00001301091,0.00009243034],"genre_scores_gemma":[0.9119489,0.00001734053,0.08795924,0.000006246417,0.0000172792,4.587082e-8,9.759466e-7,0.000002954978,0.00004704138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8585578,"threshold_uncertainty_score":0.2278447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007913245502010346,"score_gpt":0.2128506164450995,"score_spread":0.2049373709430891,"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."}}