{"id":"W4389697105","doi":"10.55016/ojs/ajer.v59i2.55834","title":"59.2 Front Matter","year":2014,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hong Kong Institute of Education; University of Crete; Mount Saint Vincent University; Social Sciences and Humanities Research Council of Canada; University of Toronto; Université de Sherbrooke; University of Wollongong; George Mason University; University of Alberta; Brock University; Concordia University; Acadia University; University of Southern Queensland; Nipissing University; University of Windsor; University of Regina; University of Ontario Institute of Technology; Office of International Science and Engineering; McGill University","keywords":"Front (military); Psychology; Mathematics education; Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003608575,0.00005921307,0.00009591121,0.0001122622,0.00008034929,0.00004627143,0.0002584521,0.00003584856,0.06482135],"category_scores_gemma":[0.0007726286,0.00004631221,0.00004753683,0.0001038602,0.00006338892,0.0001006891,0.00002444023,0.0003079669,0.006888297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005972861,"about_ca_system_score_gemma":0.00007075875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009702973,"about_ca_topic_score_gemma":0.00004832288,"domain_scores_codex":[0.9991317,0.00004825211,0.0002482152,0.00006794628,0.0002879927,0.0002159341],"domain_scores_gemma":[0.9963734,0.003045264,0.00002455232,0.0001564381,0.0002396006,0.0001607569],"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":[0.00002374576,0.0001924648,0.009252673,0.00009501115,0.00006752289,1.110503e-7,0.0003363832,0.002417706,0.003157027,0.05959351,0.9214221,0.003441809],"study_design_scores_gemma":[0.000186453,0.00009592652,0.01675363,0.00004403137,0.00001075222,0.00003399457,0.000061398,0.004941974,0.0004249312,0.003505921,0.9738187,0.0001223346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.229672,0.0005053292,0.0002515745,0.02208014,0.0002563292,0.00008542171,0.000001005514,9.808851e-7,0.7471472],"genre_scores_gemma":[0.9113027,0.00005362568,0.0006592144,0.0001552465,0.0006764932,0.0000151261,0.000002421663,0.00001699239,0.08711819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6816307,"threshold_uncertainty_score":0.993885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03609767015342546,"score_gpt":0.3206242852827897,"score_spread":0.2845266151293642,"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."}}