{"id":"W2092933242","doi":"10.1016/j.biomaterials.2013.09.097","title":"Differentiation of neuronal stem cells into motor neurons using electrospun poly-l-lactic acid/gelatin scaffold","year":2013,"lang":"en","type":"article","venue":"Biomaterials","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"New World Laboratories; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gelatin; Neurite; Neural stem cell; Neural tissue engineering; Materials science; Scaffold; Stem cell; Cellular differentiation; Cell biology; Tissue engineering; Biomedical engineering; Biology; Biochemistry; Medicine; In vitro","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":[0.0001100907,0.0001879977,0.0002432404,0.0001178712,0.0001735724,0.0001624831,0.0001920628,0.00009727276,0.000288454],"category_scores_gemma":[0.00003731659,0.0001600523,0.0000756814,0.0001823725,0.00007912792,0.0004443677,0.00006897388,0.00001783675,0.00009976482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003793109,"about_ca_system_score_gemma":0.00003795962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000100131,"about_ca_topic_score_gemma":0.000002137957,"domain_scores_codex":[0.9982538,0.0003723606,0.0004810102,0.0003616103,0.0002584322,0.0002727427],"domain_scores_gemma":[0.9991985,0.00006866299,0.0003496935,0.0002584628,0.00004819515,0.00007647509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003373042,0.00007423343,0.0000869888,0.00004066649,0.000004247277,0.000001147636,0.00005022379,0.00000162055,0.9985222,0.000270215,0.00006893581,0.0008457697],"study_design_scores_gemma":[0.0002086487,0.0001761334,0.002658017,0.00001582634,0.00002047433,0.000007465501,0.00000486319,0.001050758,0.9955382,0.0001351759,0.00003351023,0.00015088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967707,0.0000633975,0.0006569497,0.0001008632,0.001878589,0.0003984169,0.00003450196,0.00007336069,0.00002323374],"genre_scores_gemma":[0.9989261,0.000007416626,0.0004458565,0.0001108578,0.0002628309,0.00002438859,0.000005858839,0.0000284522,0.0001882572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002983973,"threshold_uncertainty_score":0.6526745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193074536627756,"score_gpt":0.2570307639888173,"score_spread":0.2251000186225398,"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."}}