{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245578,0.0004362096,0.0002968082,0.0002259205,0.0001686603,0.0003543191,0.0003041942,0.0005071135,0.0008762668],"category_scores_gemma":[0.000204223,0.0001629139,0.000415127,0.0001442018,0.0003116223,0.0003320704,0.0004124705,0.0005820559,0.0005246933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002068818,"about_ca_system_score_gemma":0.0001336478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001332806,"about_ca_topic_score_gemma":0.0003572348,"domain_scores_codex":[0.9997428,0.00002581808,0.00002314178,0.0000699887,0.0001072661,0.00003095463],"domain_scores_gemma":[0.9997451,0.00009329735,0.00007446526,0.00003785372,0.00003264571,0.00001668792],"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":[0.000005599788,0.000005191097,0.00003984036,0.0000350946,0.000002268523,0.00002972918,0.000009256365,0.00005684001,0.9981634,0.00002888563,0.00001909644,0.001604872],"study_design_scores_gemma":[0.000001738206,0.00007530185,0.0005315529,0.000003268967,0.000004722763,0.0001325069,0.000006221978,0.0003879441,0.9981006,0.0000184303,0.000733551,0.00000413457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8420602,0.004839064,0.1471477,0.0001698823,0.0002153009,0.0001914038,0.0005583256,0.0007480857,0.004070092],"genre_scores_gemma":[0.8424969,0.003864673,0.1453193,0.0002134083,0.00004604647,0.0002352354,0.0006141965,0.0001729511,0.007037417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008762668,"threshold_uncertainty_score":0.002931416,"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."}}