{"id":"W7133020232","doi":"","title":"Characterizing Topological and Topographical Resilience in Structural Networks Supporting Language in Childhood","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Strong","keywords":"Tractography; Resilience (materials science); Representation (politics); Deconvolution; Psychological resilience; Topology (electrical circuits); Language model","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004105093,0.0002221031,0.0001372677,0.0009618872,0.0002506757,0.000551349,0.000171599,0.0002226461,0.001464035],"category_scores_gemma":[0.001944064,0.0002359173,0.0002084146,0.0004828827,0.0005310873,0.0006678085,0.0005297455,0.0003218745,0.0002262395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003670853,"about_ca_system_score_gemma":0.0003545026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003311281,"about_ca_topic_score_gemma":0.007609225,"domain_scores_codex":[0.9998612,0.00002534031,0.00000783573,0.00004637492,0.00002288306,0.00003623053],"domain_scores_gemma":[0.9991825,0.0002293518,0.0003138822,0.0000855782,0.00009384641,0.00009477956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000498171,0.00008429874,0.6216418,0.0003081018,0.0002818127,0.001224643,0.003841107,0.01714465,0.2575457,0.006266786,0.00123313,0.08992983],"study_design_scores_gemma":[0.000006702666,0.0001528126,0.9545987,0.00005906235,0.00007383816,0.001015848,0.001045404,0.01477894,0.02403514,0.002688102,0.001522433,0.00002298736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943016,0.0001389902,0.0045159,0.00004282497,0.000002428248,0.000006135965,0.000260524,0.00003614732,0.0006955076],"genre_scores_gemma":[0.9959729,0.0001827887,0.003234801,0.000008630838,0.000002535074,0.00001335495,0.0002874547,0.00001674675,0.0002808015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003311281,"threshold_uncertainty_score":0.006583989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189960200563452,"score_gpt":0.4001682106898068,"score_spread":0.3782686086841723,"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."}}