{"id":"W3185915388","doi":"10.3390/mi12080865","title":"Bioprinting of Adult Dorsal Root Ganglion (DRG) Neurons Using Laser-Induced Side Transfer (LIST)","year":2021,"lang":"en","type":"article","venue":"Micromachines","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Dorsal root ganglion; Neurite; Calcitonin gene-related peptide; Cell biology; 3D bioprinting; Nociceptor; Viability assay; Chemistry; Tissue engineering; Biomedical engineering; Neuroscience; Dorsum; Anatomy; Cell; Biology; Neuropeptide; Medicine; Receptor; Nociception; Biochemistry","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":[0.0001947606,0.0002089785,0.0002796001,0.000142929,0.0000948372,0.00006241968,0.0002530755,0.0001332865,0.0001345636],"category_scores_gemma":[0.0003957212,0.0002086341,0.000132428,0.0005505417,0.00006749153,0.00008623144,0.0001152739,0.000397715,0.00001777584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004708722,"about_ca_system_score_gemma":0.00005675092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004345716,"about_ca_topic_score_gemma":0.000207303,"domain_scores_codex":[0.9984814,0.00008150689,0.0003978869,0.0002881502,0.0003170898,0.0004339708],"domain_scores_gemma":[0.9992062,0.0001630949,0.00002246095,0.0003335902,0.0001658985,0.0001087712],"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":[0.000005962827,0.00004357131,0.003236301,0.0002283369,0.0000430141,0.00006605279,0.0001396253,0.0005979438,0.9898857,0.00003356607,0.00004831857,0.005671567],"study_design_scores_gemma":[0.0003884987,0.0000204956,0.00658082,0.000142793,0.00002318401,0.00006061206,0.00003666474,0.02702526,0.9651076,0.00005776206,0.000341856,0.0002144507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963716,0.0001356211,0.001637363,0.0001291861,0.0003732274,0.00009929878,0.00002451786,0.0002099935,0.001019143],"genre_scores_gemma":[0.9980057,0.00001540157,0.001662388,0.0000287077,0.0001226335,0.000003765425,0.00001825875,0.00006556068,0.00007759671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02642732,"threshold_uncertainty_score":0.8507853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913459968383129,"score_gpt":0.2707383299734476,"score_spread":0.2516037302896163,"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."}}