{"id":"W1997154592","doi":"10.1016/s1053-8119(00)91541-6","title":"Statistical analysis of local volume change, with an application to brain growth","year":2000,"lang":"en","type":"article","venue":"NeuroImage","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Center (category theory); Library science; Psychology; Humanities; Gerontology; Medicine; Art; Computer science; Chemistry","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":[0.009960432,0.001044204,0.001777754,0.003629752,0.0009315241,0.001353239,0.001819338,0.001079988,0.002877471],"category_scores_gemma":[0.05036067,0.0006191853,0.002321187,0.003601207,0.002818995,0.001151835,0.001970594,0.00308041,0.0006548405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007655231,"about_ca_system_score_gemma":0.002651961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004722787,"about_ca_topic_score_gemma":0.0041584,"domain_scores_codex":[0.9963759,0.002096039,0.0001933521,0.0005386263,0.000694915,0.0001011051],"domain_scores_gemma":[0.9706854,0.02488259,0.0009771901,0.001888481,0.00127755,0.0002887294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000391324,0.0002362176,0.005832048,0.0009575476,0.0009487967,0.0007948777,0.0006635329,0.1211121,0.01568159,0.1475768,0.0149854,0.6908199],"study_design_scores_gemma":[0.00008285643,0.0003799094,0.008011253,0.0000646241,0.0003027945,0.001412377,0.0001024311,0.7091252,0.006828606,0.2603875,0.01321462,0.00008791132],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002086049,0.0004309946,0.9962491,0.0002485384,0.00005173087,0.0000339967,0.00008395852,0.0006530012,0.0001626847],"genre_scores_gemma":[0.07695653,0.001303752,0.9177165,0.0001825882,0.0003697973,0.0005511499,0.0003071713,0.0008559418,0.001756552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009960432,"threshold_uncertainty_score":0.05267638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05951159852491935,"score_gpt":0.3643056722885626,"score_spread":0.3047940737636433,"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."}}