{"id":"W3161521714","doi":"10.3389/fninf.2021.554229","title":"A Probabilistic Atlas of the Pineal Gland in the Standard Space","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neuroinformatics","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Medical Research Development","keywords":"Atlas (anatomy); Brain atlas; Neuroimaging; Computer science; Probabilistic logic; Human Protein Atlas; Cognition; Artificial intelligence; Neuroscience; Psychology; Medicine; Biology; Anatomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009989101,0.0005927761,0.0004029142,0.002153803,0.0007515959,0.002020618,0.000995873,0.0008278926,0.007174147],"category_scores_gemma":[0.00243653,0.0005701611,0.0007950145,0.002284122,0.0007569578,0.0008292245,0.001160724,0.0008569007,0.001840265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128625,"about_ca_system_score_gemma":0.003917277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353944,"about_ca_topic_score_gemma":0.02819275,"domain_scores_codex":[0.9995974,0.00007783104,0.00003582101,0.0001078304,0.0001229237,0.00005816281],"domain_scores_gemma":[0.9993986,0.0001810811,0.00007924507,0.0001095919,0.0001862314,0.00004533469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001087478,0.0002241747,0.02502878,0.002083967,0.0004396228,0.002318563,0.003349279,0.09820705,0.1261167,0.1092419,0.06785057,0.5640519],"study_design_scores_gemma":[0.0002092177,0.0006758455,0.1173159,0.00056402,0.000458024,0.01139988,0.001107805,0.3126036,0.05405541,0.09649286,0.4045656,0.0005517274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.060984,0.001034041,0.905749,0.0007752347,0.0001446073,0.0006693484,0.01153858,0.004257267,0.0148479],"genre_scores_gemma":[0.2229999,0.001516196,0.7559586,0.0002073958,0.0001375539,0.00102097,0.008646673,0.001721584,0.007791262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02353944,"threshold_uncertainty_score":0.04680485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988522969155492,"score_gpt":0.2458985463193885,"score_spread":0.2260133166278336,"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."}}