{"id":"W2091308180","doi":"10.3390/cells1041246","title":"Neovascularization in Tissue Engineering","year":2012,"lang":"en","type":"article","venue":"Cells","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Neovascularization; Angiogenesis; Tissue engineering; Scaffold; Medicine; Computer science; Biomedical engineering; Cancer research","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001489025,0.0004743933,0.0007637783,0.0009989343,0.0005936555,0.001469398,0.000636435,0.001354629,0.003058676],"category_scores_gemma":[0.0007925512,0.0002790638,0.0002948188,0.001060284,0.002922724,0.00184435,0.001151333,0.002094334,0.002222328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486857,"about_ca_system_score_gemma":0.0006704844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005939663,"about_ca_topic_score_gemma":0.0007264484,"domain_scores_codex":[0.9993432,0.0002029904,0.00004296366,0.0001069043,0.0002622616,0.0000416388],"domain_scores_gemma":[0.9997041,0.0001188821,0.00003324095,0.00003484977,0.00006467606,0.00004424422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005877009,0.0001286047,0.0002925337,0.0022816,0.00002315091,0.0003552701,0.0005611586,0.001979379,0.03089586,0.636548,0.02561741,0.3012581],"study_design_scores_gemma":[0.00002583156,0.0002210263,0.0004393766,0.0008025454,0.00001510721,0.001076668,0.0001579908,0.001628525,0.01109595,0.1749956,0.8095016,0.00003979218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006198619,0.8298976,0.05895399,0.01054056,0.004050391,0.0001054755,0.0001182785,0.0001914122,0.08994369],"genre_scores_gemma":[0.1802783,0.6639788,0.0739326,0.005381418,0.005752364,0.0004996756,0.0002160386,0.0001381992,0.06982269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003058676,"threshold_uncertainty_score":0.0107879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006281487219793143,"score_gpt":0.2227433185041802,"score_spread":0.216461831284387,"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."}}