{"id":"W4247759435","doi":"10.3410/f.735676425.793561233","title":"Faculty Opinions recommendation of Multivascular networks and functional intravascular topologies within biocompatible hydrogels.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Self-healing hydrogels; Biocompatible material; Network topology; Computer science; Biomedical engineering; Medicine; Chemical engineering; Computer network; Engineering","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":[0.001266597,0.002646246,0.001832071,0.00298953,0.0007477785,0.002755655,0.003180271,0.003491174,0.05613201],"category_scores_gemma":[0.008566783,0.0006848165,0.00254471,0.003470481,0.0003765587,0.001376169,0.001835796,0.001705447,0.05322399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402719,"about_ca_system_score_gemma":0.002418478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212621,"about_ca_topic_score_gemma":0.05168844,"domain_scores_codex":[0.9988707,0.0001857204,0.000112165,0.0003880806,0.0002777438,0.0001655234],"domain_scores_gemma":[0.9974541,0.0009602283,0.0003434262,0.0005109733,0.0003996423,0.0003316985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002308591,0.00006047815,0.002731315,0.00321439,0.000182976,0.00005466321,0.00002151543,0.0009935889,0.0003437824,0.0005350503,0.9844514,0.00717995],"study_design_scores_gemma":[0.0008250251,0.00006792531,0.00793119,0.001325347,0.0003128703,0.000164961,0.00006630654,0.002841479,0.001016741,0.003086524,0.9823089,0.00005266757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003517387,0.0005158677,0.0001201858,0.0001563579,0.00003951956,0.00001913127,0.9975522,0.0005145828,0.0007303692],"genre_scores_gemma":[0.001397214,0.0003137634,0.0005107543,0.0001366261,0.0000165028,0.00008260642,0.9965018,0.00006461556,0.0009760051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05613201,"threshold_uncertainty_score":0.1877803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042120942251034,"score_gpt":0.3260733176156502,"score_spread":0.2956521081931398,"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."}}