{"id":"W4389153478","doi":"10.55016/ojs/ajer.v65i4.69506","title":"Issue 65.4 Front Matter","year":2019,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Central University of Kerala; Hong Kong Institute of Education; Brock University; Acadia University; Concordia University; Mount Saint Vincent University; Social Sciences and Humanities Research Council of Canada; Université de Sherbrooke; University of Wollongong; University of Alberta; McGill University; Simon Fraser University; University of Lethbridge; Nipissing University; University of Regina","keywords":"Front (military); Psychology; Mathematics education; Physics; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002154844,0.00006200641,0.00008139524,0.00007658953,0.00006170865,0.00002009115,0.000278674,0.00005754934,0.02564139],"category_scores_gemma":[0.0002110642,0.00005407494,0.00005836838,0.00008098906,0.00005345932,0.000007691136,0.00005456285,0.0001944097,0.003187563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003667329,"about_ca_system_score_gemma":0.0002962101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005056677,"about_ca_topic_score_gemma":0.00003328814,"domain_scores_codex":[0.9992458,0.00004434553,0.0001906332,0.0001372395,0.0001746529,0.0002073014],"domain_scores_gemma":[0.9989452,0.0003204374,0.00008187685,0.0002245659,0.0003474495,0.00008043533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005637011,0.0001250299,0.02267653,0.00001026221,0.00002707572,3.580132e-8,0.00003185219,0.00001789585,0.6509973,0.001285241,0.3245963,0.0001760583],"study_design_scores_gemma":[0.0001439084,0.0002526834,0.00368691,0.00001704979,0.000003935746,0.00004383666,0.0000435483,0.000002499115,0.1279937,0.0005871267,0.8671487,0.00007604701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901463,0.001008518,0.0002190591,0.01108606,0.0001418659,0.0001983526,0.000003037431,2.164623e-7,0.08587994],"genre_scores_gemma":[0.6345505,0.000279989,0.002703229,0.0004930204,0.0006378132,0.00002135746,0.00003267629,0.00001999979,0.3612614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5425524,"threshold_uncertainty_score":0.9975886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588495560531288,"score_gpt":0.4145341954217947,"score_spread":0.3986492398164818,"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."}}