{"id":"W2570338771","doi":"10.1002/hbm.23506","title":"Mapping complementary features of cross‐species structural connectivity to construct realistic “Virtual Brains”","year":2017,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Baycrest Hospital; University of Toronto; Montreal Neurological Institute and Hospital","funders":"Boston College","keywords":"Construct (python library); Neuroscience; Connectome; Functional connectivity; Computer science; Psychology; Cognitive science; Biology; Computer network","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007245176,0.000418421,0.0006364731,0.0003483398,0.004276176,0.0005202179,0.001061557,0.00008902899,0.0002732205],"category_scores_gemma":[0.02217781,0.0004348092,0.0001939842,0.0002243312,0.001685301,0.0006152937,0.001105641,0.0003822771,0.00001974082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821544,"about_ca_system_score_gemma":0.00006670351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553757,"about_ca_topic_score_gemma":0.0006772807,"domain_scores_codex":[0.9967468,0.0003037768,0.00056328,0.00104618,0.0006770519,0.0006629322],"domain_scores_gemma":[0.9925237,0.005465556,0.0005642975,0.001099736,0.0001822522,0.0001644159],"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":[0.00007880206,0.00003556296,0.03836388,0.0001185548,0.00007527676,0.00004463693,0.003349995,0.0001620882,0.7781304,0.1624318,0.01593537,0.001273721],"study_design_scores_gemma":[0.001070774,0.0001735517,0.9688845,0.0001633585,0.000008376872,0.0000589181,0.001463701,0.00009382458,0.009880076,0.0108662,0.006816675,0.0005200598],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731899,0.00001811949,0.000826343,0.008568672,0.0009038568,0.000650327,0.000344766,0.0001647069,0.01533334],"genre_scores_gemma":[0.9930114,0.000001505488,0.0003842544,0.004543826,0.000442056,0.00003125299,0.00001649135,0.00003901669,0.001530206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9305206,"threshold_uncertainty_score":0.9998104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102014140581759,"score_gpt":0.3442160519773628,"score_spread":0.2422019113956038,"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."}}