{"id":"W4210762060","doi":"10.1017/s0269888910000111","title":"KER volume 25 issue 2 Cover and Front matter","year":2010,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto; University of Manitoba","funders":"","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Content (measure theory); Action (physics); Computer science; Engineering; Physics; Mathematics; Mechanical engineering","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":["insufficient_payload"],"category_scores_codex":[0.0006919115,0.00008464701,0.0001770112,0.00001148606,0.0002811776,0.00003480756,0.0001576929,0.00004098359,0.008258026],"category_scores_gemma":[0.0002254885,0.0000642512,0.00004526266,0.00005736843,0.0001180763,0.00006496707,0.00004483571,0.000158134,0.01364476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003758519,"about_ca_system_score_gemma":0.00005619544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009260796,"about_ca_topic_score_gemma":0.00006563812,"domain_scores_codex":[0.9994914,0.00003507822,0.0001340334,0.0001097194,0.00005371257,0.0001760853],"domain_scores_gemma":[0.9996254,0.0001173237,0.00003216165,0.000121962,0.00003831877,0.00006482974],"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":[5.381461e-7,0.00002574591,0.00321216,0.0005210435,0.00005774269,2.602444e-7,0.01670701,0.000001415341,0.00001559038,0.008025864,0.9557931,0.01563956],"study_design_scores_gemma":[0.0000253648,0.000001463632,0.01054217,0.000143754,0.0000248406,6.615985e-7,0.0001233408,0.00002091032,6.323077e-7,0.00005828737,0.9889716,0.00008697803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0210176,0.4071525,0.0002122716,0.05350732,0.005992138,0.001030988,0.00001076326,0.0001662519,0.5109102],"genre_scores_gemma":[0.3083219,0.1127765,0.0009384872,0.003922252,0.009227315,0.0002888305,0.000007390953,0.00007522196,0.5644421],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.294376,"threshold_uncertainty_score":0.9926485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130231432078019,"score_gpt":0.2794813963161991,"score_spread":0.2664582531083972,"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."}}