{"id":"W4308178026","doi":"10.1016/j.biopsych.2022.10.016","title":"Toward Best Practices for Imaging Transcriptomics of the Human Brain","year":2022,"lang":"en","type":"review","venue":"Biological Psychiatry","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Health and Medical Research Council; Sylvia and Charles Viertel Charitable Foundation","keywords":"Neuroimaging; Data science; Spurious relationship; Affect (linguistics); Transcriptome; Computer science; Psychology; Neuroscience; Computational biology; Biology; Machine learning; Gene; Gene expression; Communication","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004085186,0.0003964991,0.0007938171,0.00004250402,0.0002432412,0.00002588278,0.00097769,0.0004289986,0.00006150303],"category_scores_gemma":[0.000229462,0.0002483909,0.001267359,0.0001415869,0.0002058591,0.000003076915,0.0001406017,0.0003937944,0.000001612221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002418275,"about_ca_system_score_gemma":0.0002851743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003642054,"about_ca_topic_score_gemma":0.00002419136,"domain_scores_codex":[0.9979635,0.0003038657,0.000652797,0.000633675,0.0001306832,0.0003155109],"domain_scores_gemma":[0.9983818,0.0001076588,0.0008780566,0.000535012,0.00003571712,0.00006174752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002626233,0.001988963,0.002731779,0.01736238,0.001027373,0.000002485715,0.00008532948,0.000003164603,0.02190463,0.003880726,0.02227891,0.9284716],"study_design_scores_gemma":[0.0003308681,0.0003484367,0.00001487206,0.0003561996,0.0002998974,0.00002138862,0.00005992092,0.000001138251,0.00004601043,0.0002354959,0.9979519,0.0003339046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008489868,0.9939945,0.0002206368,0.0004229547,0.002149647,0.001014776,0.0004287305,0.00001618884,0.0009035691],"genre_scores_gemma":[0.0007455795,0.9955928,0.0007964049,0.0006129461,0.0008624961,0.0001963228,0.0006938899,0.0000615372,0.0004379821],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.975673,"threshold_uncertainty_score":0.9999968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1900599289526664,"score_gpt":0.3781957522766402,"score_spread":0.1881358233239738,"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."}}