{"id":"W4406505892","doi":"10.14742/apubs.2010.2034","title":"From neural to social","year":2010,"lang":"en","type":"article","venue":"ASCILITE Publications","topic":"Medical Education and Admissions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Electronic Arts (Canada)","funders":"","keywords":"Artificial neural network; Sociology; Artificial intelligence; Computer science; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001056079,0.00006389564,0.0000976796,0.0001036006,0.0001685919,0.0000395663,0.0001262098,0.00007026411,0.01912748],"category_scores_gemma":[0.00388455,0.00005402716,0.00005757987,0.0004332675,0.00005553824,0.00007529477,0.00003346091,0.0002781637,0.0007090698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001431813,"about_ca_system_score_gemma":0.0004547758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000872287,"about_ca_topic_score_gemma":0.0000338584,"domain_scores_codex":[0.9992611,0.0000138212,0.0001626875,0.0002022843,0.0002027856,0.0001572669],"domain_scores_gemma":[0.9981716,0.00007507647,0.00002541894,0.0003518071,0.0001857122,0.001190395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001281084,0.0005322436,0.005854275,0.000006148123,0.00002537613,6.586863e-7,0.003027653,1.024542e-7,0.03762884,0.02392035,0.8511657,0.07782584],"study_design_scores_gemma":[0.0001752281,0.00001033388,0.2079063,0.000002283441,0.00001385194,0.000003061018,0.0001705926,0.00008468239,0.000124034,0.0004303846,0.7910298,0.00004945988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.447759,0.000008334671,0.0002151167,0.5219668,0.0004990361,0.0002223623,0.00006312459,0.0001534534,0.02911283],"genre_scores_gemma":[0.9539188,7.964948e-7,0.004222265,0.01971186,0.001245926,0.0001061698,0.00031817,0.00001064478,0.02046536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5061598,"threshold_uncertainty_score":0.9817691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396958118866911,"score_gpt":0.3748180544453119,"score_spread":0.3408484732566428,"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."}}