{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484357,0.0005714031,0.000341454,0.001997443,0.001761054,0.008964719,0.0009869477,0.001707161,0.01228127],"category_scores_gemma":[0.006722155,0.0002365759,0.0003313557,0.001942136,0.01746192,0.008513452,0.0031917,0.002663614,0.001562868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003077483,"about_ca_system_score_gemma":0.001866787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00399578,"about_ca_topic_score_gemma":0.003425264,"domain_scores_codex":[0.9984943,0.0005612602,0.00005464746,0.0003984216,0.0003536746,0.0001377248],"domain_scores_gemma":[0.9967597,0.001341986,0.0003392583,0.0005440692,0.0006008965,0.0004140865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000188411,0.00002952759,0.00363135,0.000130314,0.0000232994,0.0001172657,0.003656642,0.0007730889,0.0003147682,0.9498585,0.002925496,0.03852078],"study_design_scores_gemma":[0.000005697538,0.00002320875,0.005078359,0.0001572625,0.00001371181,0.0001617662,0.00302101,0.001632676,0.0002348344,0.9328845,0.05676469,0.00002215429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07334653,0.01203724,0.1247645,0.05748974,0.0008826376,0.00009469657,0.0004692179,0.0002614263,0.730654],"genre_scores_gemma":[0.9412182,0.007331381,0.01766516,0.003195618,0.0007982927,0.0001370023,0.0002919515,0.0001239742,0.02923839],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01228127,"threshold_uncertainty_score":0.04108495,"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."}}