{"id":"W1588033962","doi":"10.2139/ssrn.2279079","title":"Non-Sequential Social Learning","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Social learning; Artificial intelligence; Knowledge management","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":[],"consensus_categories":[],"category_scores_codex":[0.000360364,0.0001148289,0.0001344791,0.00004003735,0.0005811706,0.0001611286,0.0001815973,0.00004347363,0.0005460886],"category_scores_gemma":[0.000002661161,0.0001094402,0.0001527307,0.00009548226,0.00004237828,0.000242987,0.00003540214,0.001676254,0.0002539926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832588,"about_ca_system_score_gemma":0.0006788182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005743752,"about_ca_topic_score_gemma":0.00001919443,"domain_scores_codex":[0.9980528,0.00003856163,0.0001942378,0.0001215306,0.0001565899,0.001436258],"domain_scores_gemma":[0.9996489,0.00001062896,0.0001328889,0.00005073298,0.0000931696,0.00006367396],"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":[0.000005214134,0.0000542637,0.03377552,0.000001680741,0.000182489,3.875626e-7,0.0004487879,0.0001205429,0.0008747879,0.9145404,0.0002542059,0.04974172],"study_design_scores_gemma":[0.0009556477,0.0001707739,0.008321939,0.00001057817,0.000029469,0.00001364932,0.007376945,0.001811197,0.00006693343,0.9755731,0.005250601,0.000419222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654658,0.00006460479,0.01591625,0.0007271121,0.0002360991,0.0001128462,0.000001399394,0.00002213722,0.01745374],"genre_scores_gemma":[0.9952662,0.00004087545,0.00002924045,0.00003720783,0.001165994,0.000009216473,0.000006586959,0.00001756917,0.003427094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06103265,"threshold_uncertainty_score":0.7282584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00529653501278079,"score_gpt":0.2472680969874878,"score_spread":0.241971561974707,"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."}}