{"id":"W3167183962","doi":"10.1101/2021.05.31.446446","title":"Microfabricated disk technology: rapid scale up in midbrain organoid generation","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canada First Research Excellence Fund; University of Edinburgh; Canadian Institutes of Health Research; Parkinson Canada; Québec Consortium for Drug Discovery; Consortium canadien en neurodégénérescence associée au vieillissement; McGill University","keywords":"Organoid; Midbrain; Induced pluripotent stem cell; Human Induced Pluripotent Stem Cells; Human brain; Workflow; Biology; Neuroscience; Computational biology; Computer science; Cell biology; Embryonic stem cell; Central nervous system; Genetics; 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":[0.0007883388,0.0007598548,0.0005653638,0.0007472257,0.0004019676,0.0008842301,0.00093914,0.0007404932,0.003059679],"category_scores_gemma":[0.001122031,0.0004674588,0.0005831128,0.000476961,0.0003513875,0.00050859,0.0009770381,0.000974963,0.003223524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900233,"about_ca_system_score_gemma":0.0003208325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009039789,"about_ca_topic_score_gemma":0.001509953,"domain_scores_codex":[0.9992149,0.00009684573,0.000060719,0.0001927452,0.000370181,0.00006449164],"domain_scores_gemma":[0.9993514,0.0002028466,0.00008034011,0.000173895,0.0001300498,0.00006145689],"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":[0.00003940122,0.00003924619,0.0002315824,0.0001171428,0.00001240176,0.0001257729,0.00008442292,0.0005527912,0.9700918,0.0004218673,0.00121824,0.02706526],"study_design_scores_gemma":[0.00001235921,0.00009178279,0.0009948473,0.00001353976,0.00001808695,0.0002999081,0.00002960216,0.004083925,0.9737941,0.0002448325,0.02039205,0.00002509728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1927064,0.006894102,0.7809584,0.0008010373,0.0006003837,0.0007366624,0.001897593,0.006363949,0.009041409],"genre_scores_gemma":[0.2218118,0.003264133,0.7595376,0.0003089694,0.00008669492,0.0008301915,0.002412363,0.001013427,0.01073489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003059679,"threshold_uncertainty_score":0.01023567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121106075816121,"score_gpt":0.2288776878340076,"score_spread":0.2167670802523954,"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."}}