{"id":"W2052471246","doi":"10.1152/jn.00075.2015","title":"Discriminating neural representations of physical and social pains: how multivariate statistics challenge the “shared representation” theory of pain","year":2015,"lang":"en","type":"letter","venue":"Journal of Neurophysiology","topic":"Death Anxiety and Social Exclusion","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Connaught Fund; University of Toronto","keywords":"Multivariate statistics; Representation (politics); Psychology; Multivariate analysis; Cognitive psychology; Statistics; Computer science; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005540993,0.0002513041,0.0008596501,0.0001375352,0.0001768634,0.00002113543,0.0004214698,0.0003474156,0.00003793469],"category_scores_gemma":[0.001526589,0.0001774631,0.0003087993,0.0001385235,0.0006490876,0.0001069492,0.0001722853,0.001553192,0.000001590686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002142261,"about_ca_system_score_gemma":0.00008541792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005425857,"about_ca_topic_score_gemma":0.000001758395,"domain_scores_codex":[0.9932947,0.005000051,0.0007101991,0.0002890101,0.0004266643,0.0002794378],"domain_scores_gemma":[0.9932962,0.003702246,0.002031001,0.0002994509,0.000623978,0.00004713116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002062519,0.001174559,0.00008521133,0.0009015831,0.001675109,0.001542979,0.179091,0.0002249624,0.02953586,0.01804744,0.689648,0.07601073],"study_design_scores_gemma":[0.01952113,0.02638026,0.2147788,0.000886119,0.006031822,0.0008872884,0.1272075,0.01248714,0.0002697262,0.4513464,0.1366357,0.003568115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2955919,0.0006711162,0.006028047,0.6864222,0.005580009,0.00160765,0.002084258,0.00005455609,0.001960182],"genre_scores_gemma":[0.9638677,0.00007714349,0.0003547915,0.02891064,0.005887155,0.00001684857,0.0001682116,0.00007974084,0.0006378076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6682757,"threshold_uncertainty_score":0.7236734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07880700504285612,"score_gpt":0.3583077786772165,"score_spread":0.2795007736343604,"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."}}