{"id":"W4386083906","doi":"10.7554/elife.82566","title":"Statistical inference on representational geometries","year":2023,"lang":"en","type":"article","venue":"eLife","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Overfitting; Bootstrapping (finance); Inference; Computer science; Artificial intelligence; Machine learning; Python (programming language); Resampling; Generalization; Toolbox; Big data; Statistical inference; Computational neuroscience; Artificial neural network; Data mining; Mathematics; Statistics","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":[0.02404331,0.001423821,0.001822518,0.002905082,0.001095398,0.004431036,0.003362403,0.001850728,0.004041987],"category_scores_gemma":[0.15109,0.001336592,0.002998554,0.001744781,0.006287563,0.007661168,0.004565572,0.005987148,0.0008717501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002220083,"about_ca_system_score_gemma":0.001959745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004523016,"about_ca_topic_score_gemma":0.003177925,"domain_scores_codex":[0.9841478,0.009097244,0.0007081995,0.003838828,0.00178822,0.0004198747],"domain_scores_gemma":[0.8955501,0.08431956,0.004258553,0.01284463,0.0023724,0.0006547639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002761116,0.000080199,0.01476713,0.0005225454,0.0007788235,0.0001790229,0.0006436023,0.386461,0.002450087,0.5124984,0.00661982,0.07472337],"study_design_scores_gemma":[0.00002177773,0.00002447728,0.001881436,0.00006228255,0.00003201747,0.00004915016,0.00004868143,0.4025326,0.001071194,0.5928388,0.001409069,0.00002857192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01522599,0.0002671262,0.9807975,0.0008133135,0.00006663467,0.00004942673,0.0007635747,0.000572375,0.001444005],"genre_scores_gemma":[0.6232097,0.0007773044,0.3673859,0.001019225,0.0003616617,0.0007294412,0.004021388,0.0009803487,0.001515029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02404331,"threshold_uncertainty_score":0.1271547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08362729769444643,"score_gpt":0.3547679841868328,"score_spread":0.2711406864923863,"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."}}