{"id":"W2901823860","doi":"10.36510/learnland.v3i2.343","title":"Higher Learning, Meager Earnings","year":2010,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"University Challenges and Reforms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Favourite; Subject (documents); Column (typography); Mathematics education; Psychology; Econometrics; Economics; Computer science; Library science; Political science; Accounting; Law; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001648749,0.0002865988,0.0002105252,0.0007092637,0.004493219,0.01065074,0.0003626061,0.00270131,0.0268979],"category_scores_gemma":[0.007522127,0.0001279207,0.000109371,0.0009144315,0.005503313,0.009923677,0.003552183,0.004093039,0.004933076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002876524,"about_ca_system_score_gemma":0.00322099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003740872,"about_ca_topic_score_gemma":0.01304161,"domain_scores_codex":[0.9989054,0.0003524034,0.00002358654,0.0001175092,0.0003707103,0.0002303885],"domain_scores_gemma":[0.9984639,0.0004982827,0.00009925434,0.0001444448,0.0002674643,0.0005266835],"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":[0.00001319832,0.00001859033,0.0004219825,0.00002892411,0.000001784654,0.00007538086,0.0007820211,0.00006770121,0.00009309396,0.3436394,0.607483,0.04737492],"study_design_scores_gemma":[0.000005375257,0.00001377178,0.0009099938,0.0001082982,0.000001236662,0.00007040946,0.00152066,0.0000747335,0.00007150325,0.1204671,0.8767483,0.000008690325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005648306,0.01937013,0.0008933853,0.5505897,0.00904712,0.00000800801,0.0001398591,0.0001146315,0.414189],"genre_scores_gemma":[0.3408512,0.02121273,0.001566952,0.1177267,0.01524002,0.00005880266,0.0001398404,0.0001797422,0.503024],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0268979,"threshold_uncertainty_score":0.08998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141656525052175,"score_gpt":0.2507217673532886,"score_spread":0.2393052021027668,"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."}}