{"id":"W4319598353","doi":"10.3390/cells12040545","title":"An Optimized Workflow to Generate and Characterize iPSC-Derived Motor Neuron (MN) Spheroids","year":2023,"lang":"en","type":"article","venue":"Cells","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canada First Research Excellence Fund","keywords":"Spheroid; Induced pluripotent stem cell; Immunocytochemistry; Neuron; Biology; Workflow; Neuroscience; Profiling (computer programming); Cell; Motor neuron; Progenitor cell; Computer science; Cell biology; Computational biology; Chemistry; In vitro; Stem cell; Gene; 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":[0.002083645,0.001152851,0.001059099,0.001652921,0.0008355555,0.001283458,0.0008347097,0.0007828585,0.004102364],"category_scores_gemma":[0.001532195,0.0008694664,0.001077347,0.0009169307,0.000441961,0.0004338887,0.000879418,0.001760995,0.005243878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000545233,"about_ca_system_score_gemma":0.001542764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001672231,"about_ca_topic_score_gemma":0.002686577,"domain_scores_codex":[0.9986066,0.0001579908,0.0002688424,0.0003454126,0.0004844178,0.0001367724],"domain_scores_gemma":[0.9990532,0.0001918053,0.00007992538,0.0002354085,0.0003473284,0.00009237015],"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":[0.0001221715,0.00007909206,0.0005856269,0.0002729024,0.00002873411,0.0003455242,0.0001670895,0.002079528,0.9738275,0.001066743,0.002415244,0.0190098],"study_design_scores_gemma":[0.00005463314,0.0002668895,0.003612975,0.00009386491,0.0000876886,0.0005554466,0.0001096105,0.01319038,0.9116113,0.001062498,0.06922076,0.0001338859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04763285,0.0008381121,0.9147923,0.0003157576,0.0003702482,0.004819809,0.01396071,0.01275004,0.004520097],"genre_scores_gemma":[0.07058054,0.001276796,0.892175,0.0002077239,0.00004983367,0.007630841,0.02067683,0.001718293,0.005684171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004102364,"threshold_uncertainty_score":0.01372373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759584464023696,"score_gpt":0.2609509441580666,"score_spread":0.2433550995178296,"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."}}