{"id":"W4220882089","doi":"10.3389/fnana.2022.837485","title":"Cytoarchitectonic Maps of the Human Metathalamus in 3D Space","year":2022,"lang":"en","type":"article","venue":"Frontiers in Neuroanatomy","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada; Montreal Neurological Institute and Hospital","funders":"Max-Planck-Gesellschaft; Horizon 2020 Framework Programme; Forschungszentrum Jülich; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Space (punctuation); Neuroscience; Psychology; Artificial intelligence; Cognitive science; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000175985,0.0001795663,0.0000950697,0.001364008,0.0001339453,0.0005883146,0.0001476991,0.0001973502,0.002130805],"category_scores_gemma":[0.000511469,0.0001791393,0.0002265542,0.0006575991,0.0003120313,0.0002191662,0.0003854011,0.0001717965,0.0004756711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511421,"about_ca_system_score_gemma":0.0004303905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005951137,"about_ca_topic_score_gemma":0.008942041,"domain_scores_codex":[0.9999292,0.000009704143,0.000004297335,0.00001768868,0.00003109231,0.000008007861],"domain_scores_gemma":[0.9998432,0.00005267918,0.0000297883,0.00002697851,0.00003617333,0.00001117473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008608677,0.00007972354,0.06157938,0.0006369833,0.000256582,0.001605303,0.003196707,0.08971964,0.484789,0.02026958,0.005132017,0.3318743],"study_design_scores_gemma":[0.00006702506,0.0003201889,0.594046,0.0002128992,0.0001966151,0.009426078,0.000963212,0.2258657,0.105414,0.02768879,0.03558442,0.0002150173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8040807,0.001202303,0.182053,0.000204428,0.00001644287,0.00007807282,0.003787488,0.00117838,0.007399128],"genre_scores_gemma":[0.9174861,0.0007624608,0.07778449,0.00004856984,0.00001032834,0.00009712102,0.001788138,0.0001923825,0.001830514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005951137,"threshold_uncertainty_score":0.01183301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531008518302238,"score_gpt":0.3043651036046374,"score_spread":0.279055018421615,"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."}}