{"id":"W2902044295","doi":"10.3390/app8122414","title":"3D Bioprinting Human Induced Pluripotent Stem Cell-Derived Neural Tissues Using a Novel Lab-on-a-Printer Technology","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; British Columbia Innovation Council","keywords":"Induced pluripotent stem cell; Neural stem cell; OLIG2; 3D bioprinting; Human Induced Pluripotent Stem Cells; Neurosphere; Neural development; Spinal cord injury; Spinal cord; Cell biology; Biology; Stem cell; Chemistry; Neuroscience; Biomedical engineering; Tissue engineering; Embryonic stem cell; Medicine; Central nervous system; Adult stem cell; Biochemistry; Gene","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":[0.0002487331,0.000307108,0.0001716303,0.0003362943,0.0001137114,0.0003983948,0.0003316053,0.0005084327,0.0011443],"category_scores_gemma":[0.0002492394,0.0002645149,0.0004293057,0.0002268637,0.000169984,0.0002201216,0.0002528488,0.0004973071,0.0005983952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763553,"about_ca_system_score_gemma":0.0001538966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001827658,"about_ca_topic_score_gemma":0.0004113274,"domain_scores_codex":[0.9996521,0.00002262574,0.00003265055,0.00006700832,0.000205854,0.0000197646],"domain_scores_gemma":[0.999838,0.00004785412,0.00005007461,0.00003218668,0.00002178458,0.00001007683],"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":[0.00001046809,0.0000120535,0.0001234128,0.00008100254,0.000005732528,0.000173898,0.00003077083,0.00067675,0.9891919,0.0002363735,0.0001582546,0.009299183],"study_design_scores_gemma":[0.000005515961,0.00005734617,0.001084702,0.000008184638,0.00001339344,0.0006317783,0.000009261365,0.004733934,0.9871624,0.00008900305,0.00618922,0.00001523119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6090514,0.004211823,0.3658808,0.0003364202,0.0004086484,0.0001879678,0.0009271118,0.003065018,0.01593089],"genre_scores_gemma":[0.7444656,0.002331276,0.2423085,0.0001681711,0.00006992972,0.0001970712,0.0004419566,0.0002421296,0.009775312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0011443,"threshold_uncertainty_score":0.003828049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06477135469772145,"score_gpt":0.3183404560379967,"score_spread":0.2535691013402753,"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."}}