{"id":"W4399658839","doi":"10.55016/ojs/ajer.v60i1.55989","title":"AJER Issue 60.1 Spring 2014 Table of Contents","year":2014,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Spring (device); Table (database); Psychology; Mathematics education; Statistics; Mathematics; Computer science; Engineering; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001135189,0.0007250292,0.0009955396,0.003808165,0.001464251,0.00673398,0.001493291,0.001895593,0.8741626],"category_scores_gemma":[0.005835834,0.0004122949,0.000557537,0.002704912,0.0005231747,0.002252933,0.001639933,0.001463856,0.8183416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002356426,"about_ca_system_score_gemma":0.003202532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008580677,"about_ca_topic_score_gemma":0.01223751,"domain_scores_codex":[0.9990954,0.00006854949,0.00004976501,0.0001193029,0.0005536163,0.000113397],"domain_scores_gemma":[0.995167,0.0005548176,0.0001618201,0.0003806629,0.002828731,0.0009069566],"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":[0.00001698197,0.00002038404,0.00008790931,0.00008917956,0.000001560535,0.00001037034,0.000006675474,0.00002690447,0.00007829875,0.0008961791,0.9804732,0.01829235],"study_design_scores_gemma":[0.000007180828,0.00001065124,0.0005088033,0.000166473,0.000001819255,0.00001658165,0.00001669975,0.00002967972,0.00006574862,0.0003616434,0.9988099,0.000004776689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003103872,0.001294607,0.0003933669,0.00388098,0.01306717,0.0002020318,0.01320831,0.001263496,0.9663796],"genre_scores_gemma":[0.0008387354,0.0007839862,0.0001830847,0.0008272036,0.001633745,0.00004114936,0.0032541,0.0003366888,0.9921013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1258374,"threshold_uncertainty_score":0.1794918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135619993752666,"score_gpt":0.3255754513910515,"score_spread":0.2120134520157849,"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."}}