{"id":"W3208287636","doi":"10.1038/s41380-021-01354-0","title":"The promise of organoids for unraveling the proteomic landscape of the developing human brain","year":2021,"lang":"en","type":"review","venue":"Molecular Psychiatry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Neuroscience; Human brain; Brain development; Computational biology; Biology; Cognitive science; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005858293,0.0003300302,0.0006721219,0.00004000017,0.0003246694,0.00003068892,0.0007897265,0.0002862631,5.294909e-7],"category_scores_gemma":[0.0002202513,0.0001564863,0.0009756006,0.0003475086,0.0002072265,0.000001293874,0.0002705611,0.0002343963,1.597755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001535714,"about_ca_system_score_gemma":0.0006200024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002609836,"about_ca_topic_score_gemma":0.00002056111,"domain_scores_codex":[0.9981431,0.0003041996,0.0006879403,0.000422294,0.0001936253,0.00024885],"domain_scores_gemma":[0.9978522,0.00004526692,0.0007573523,0.001112257,0.0002086739,0.00002425565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008279412,0.0003156519,0.0001664147,0.01909862,0.00443594,0.000004216213,0.00008453614,0.00001301358,0.5014321,0.01077349,0.01118592,0.4524073],"study_design_scores_gemma":[0.0003392844,0.0001623254,0.00001185238,0.006519922,0.001111083,0.00004662252,0.00009289877,0.00000460104,0.1900821,0.0007911956,0.8002928,0.0005452157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002426384,0.9912515,0.003638219,0.0008071323,0.0002207396,0.001534408,0.00004435215,0.00001219219,0.00006506705],"genre_scores_gemma":[0.004992757,0.9775081,0.0154268,0.0003971604,0.0004172077,0.0002965727,0.000273211,0.0001511804,0.0005369748],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.789107,"threshold_uncertainty_score":0.6381326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500454925765365,"score_gpt":0.32260515163601,"score_spread":0.3076006023783563,"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."}}