{"id":"W4235356885","doi":"10.3410/f.726346686.793518265","title":"Faculty Opinions recommendation of A covalently modified hydrogel blend of hyaluronan–methyl cellulose with peptides and growth factors influences neural stem/progenitor cell fate.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cellulose; Progenitor cell; Neural stem cell; Covalent bond; Chemistry; Self-healing hydrogels; Stem cell; Progenitor; Polymer science; Combinatorial chemistry; Cell biology; Biophysics; Biochemistry; Polymer chemistry; Organic chemistry; Biology","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":[0.001583505,0.001958571,0.0015216,0.003224444,0.0005450147,0.001921819,0.001840896,0.00194798,0.02387405],"category_scores_gemma":[0.007682753,0.0004406178,0.002093032,0.003356596,0.0003489434,0.0009637759,0.001406268,0.001182954,0.02567613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427153,"about_ca_system_score_gemma":0.002570817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02105272,"about_ca_topic_score_gemma":0.047736,"domain_scores_codex":[0.9985311,0.000282709,0.0002619355,0.0004365472,0.0003313965,0.0001562082],"domain_scores_gemma":[0.9971131,0.000898754,0.0005709813,0.0004850389,0.0005821494,0.0003498319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001316905,0.0001696495,0.01255351,0.005703738,0.0005313019,0.0001014764,0.00005176337,0.0008878137,0.00107013,0.0004648058,0.9626396,0.01450936],"study_design_scores_gemma":[0.001698456,0.0001839791,0.03625176,0.001442616,0.0006850429,0.0002433992,0.0001438413,0.001528049,0.002798833,0.001046601,0.9538926,0.00008475846],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000909731,0.0003508033,0.00006716764,0.0001182345,0.00003824481,0.00003031224,0.9976704,0.0001883892,0.000626703],"genre_scores_gemma":[0.001781755,0.0001787884,0.0003203887,0.00008054598,0.00001257623,0.00009077636,0.9966726,0.00003108397,0.0008314214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02387405,"threshold_uncertainty_score":0.07986665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175973564353261,"score_gpt":0.3151407142765825,"score_spread":0.2833809786330499,"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."}}