{"id":"W4247486451","doi":"10.1002/nsr.20076","title":"Table of Contents","year":2014,"lang":"en","type":"article","venue":"Recruiting & Retaining Adult Learners","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interim; Active listening; Credibility; Revenue; Skepticism; Public relations; Blame; Political science; Psychology; Business; Law; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007443214,0.0001519209,0.0002998662,0.0001269722,0.0001394659,0.0000941765,0.0006471278,0.00007939601,0.000006380167],"category_scores_gemma":[0.00186756,0.0001452035,0.000103427,0.0004840742,0.00007184999,0.0001969973,0.0001495985,0.0003385172,0.0000410224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001905524,"about_ca_system_score_gemma":0.00005015776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008499325,"about_ca_topic_score_gemma":0.000002941055,"domain_scores_codex":[0.9983332,0.0001882685,0.0003641447,0.000375532,0.0003383942,0.0004004751],"domain_scores_gemma":[0.9985545,0.0003013044,0.0003112088,0.0004814445,0.0002399929,0.0001115778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001778028,0.00008361503,0.07960631,0.0001683258,0.000130358,0.0000162426,0.00546019,0.01227837,0.006126743,0.2238297,0.0005161287,0.6717662],"study_design_scores_gemma":[0.0008317506,0.0003227783,0.001108056,0.0005008955,0.00002542159,0.00001904191,0.001398754,0.9738828,0.003155895,0.002140385,0.01618525,0.0004289533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7192324,0.0001338103,0.2181163,0.006852,0.0004881708,0.0001907424,0.000002370817,0.000893891,0.05409028],"genre_scores_gemma":[0.9709328,0.00001397443,0.02701071,0.0002461534,0.0001186807,0.000002208358,0.000003841029,0.00001868444,0.00165295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9616045,"threshold_uncertainty_score":0.5921229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229519058776571,"score_gpt":0.2709136133734224,"score_spread":0.2479617074957653,"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."}}