{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005616377,0.0001170282,0.0001470106,0.00009090652,0.001285993,0.0001056509,0.0002556018,0.0002280767,0.004178367],"category_scores_gemma":[0.0002022716,0.00009274737,0.00009470233,0.0001775431,0.0001341673,0.0002114848,0.0000667831,0.001220693,0.0004556198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002020832,"about_ca_system_score_gemma":0.00005139166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008138043,"about_ca_topic_score_gemma":0.00158128,"domain_scores_codex":[0.9987753,0.0001401725,0.0001019241,0.0002326771,0.0003407708,0.0004091321],"domain_scores_gemma":[0.9994555,0.0001044731,0.00009885702,0.0001000531,0.00007576127,0.0001653408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007442643,0.0001878225,0.7063691,0.00004583611,0.0001716036,0.0001001325,0.149269,0.0009580252,0.005696953,0.06871757,0.005988114,0.06242146],"study_design_scores_gemma":[0.0002295151,0.00005062846,0.02202838,0.000008458409,0.00001120271,0.000001223185,0.005113632,0.00005170601,0.00002993392,0.00009745138,0.9722096,0.0001683017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6834891,0.00004869406,0.00001486146,0.002454626,0.0005350049,0.00005611329,1.969024e-7,0.0003325944,0.3130687],"genre_scores_gemma":[0.8347604,0.0001559477,0.0001357884,0.0000484301,0.0006408548,0.000001461984,0.000005227582,0.00001573192,0.1642362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9662215,"threshold_uncertainty_score":0.9967319,"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."}}