{"id":"W4233348062","doi":"10.1093/ww/9780199540884.013.20261","title":"Hinton, Prof. Geoffrey Everest, (born 6 Dec. 1947), Professor of Computer Science, 2001–14, University Professor, 2006–14, University of Toronto, now Distinguished Emeritus Professor; Vice President and Engineering Fellow, Google, since 2013","year":2007,"lang":"en","type":"reference-entry","venue":"Who's Who","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Vice president; Management; Engineering; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001313172,0.0005603958,0.0006150186,0.001403776,0.001138831,0.002983206,0.0006087851,0.001447038,0.1323235],"category_scores_gemma":[0.003743704,0.0003075527,0.0001911991,0.001743462,0.0007101173,0.002510876,0.0009603213,0.002042155,0.1458953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429127,"about_ca_system_score_gemma":0.003024976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184498,"about_ca_topic_score_gemma":0.03074578,"domain_scores_codex":[0.9992133,0.0001126235,0.00005426538,0.0001382687,0.0003918447,0.00008949255],"domain_scores_gemma":[0.9975826,0.0004204284,0.0001633237,0.00006636135,0.001089952,0.0006774308],"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":[0.000008378041,0.000001647514,0.00007854564,0.00002526694,5.565174e-7,0.00001487873,0.00002726113,0.00001209397,0.00002918451,0.001037626,0.9860244,0.0127402],"study_design_scores_gemma":[0.000002220314,0.00000439374,0.0002313773,0.0000429468,0.000001408627,0.00007510289,0.00006225115,0.00001745028,0.0000962499,0.0004126262,0.999049,0.000004855377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001935572,0.08914372,0.003560456,0.4029306,0.07318775,0.0001062333,0.005547959,0.001367151,0.4222205],"genre_scores_gemma":[0.003253037,0.01468658,0.0005218842,0.007964486,0.002014826,0.00001530357,0.0005758941,0.0001410083,0.970827],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1323235,"threshold_uncertainty_score":0.4426661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03879600263163945,"score_gpt":0.2974409782871859,"score_spread":0.2586449756555464,"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."}}