{"id":"W2890603829","doi":"10.3390/ijms19092741","title":"Identification and Characterization of microRNAs during Retinoic Acid-Induced Regeneration of a Molluscan Central Nervous System","year":2018,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Brock University","keywords":"Neurite; Biology; Retinoic acid; Regeneration (biology); microRNA; Downregulation and upregulation; Cell biology; Nervous system; Growth cone; Central nervous system; Neuroscience; Genetics; Cell culture; In vitro; Gene; Axon","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001194223,0.0002514417,0.0003520056,0.0004801393,0.0002190112,0.0002954376,0.0001603355,0.0002696315,0.0005055927],"category_scores_gemma":[0.0002661001,0.0001855641,0.0002412372,0.000186317,0.0001594647,0.0001630589,0.0001804783,0.000268833,0.0004181502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321512,"about_ca_system_score_gemma":0.0003582056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008806759,"about_ca_topic_score_gemma":0.001502662,"domain_scores_codex":[0.9998734,0.000009280202,0.00001305344,0.00004010265,0.00004350321,0.00002061858],"domain_scores_gemma":[0.9998149,0.0000203072,0.00007038823,0.00001191272,0.00004869122,0.00003365115],"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":[0.00005416833,0.00000625519,0.0004520056,0.00002732092,0.000003359183,0.00005930352,0.00002396481,0.00002255033,0.9978657,0.00003197159,0.00002006602,0.001433334],"study_design_scores_gemma":[0.00002805032,0.0006082135,0.09577265,0.00002494601,0.0000839948,0.001176789,0.0001432582,0.001615817,0.8918157,0.0001033451,0.008601953,0.00002518972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898149,0.00276183,0.0040261,0.00005109255,0.00002734573,0.0001009824,0.001235797,0.0001006324,0.001881356],"genre_scores_gemma":[0.9820726,0.001574009,0.008922969,0.0001185037,0.00001823052,0.0001909619,0.002516596,0.00006178815,0.0045243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008806759,"threshold_uncertainty_score":0.001751065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007689970825287381,"score_gpt":0.2453607537202867,"score_spread":0.2376707828949993,"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."}}