{"id":"W6981557211","doi":"","title":"ERIC ED498998: Enrollments in Languages Other than English in United States Institutions of Higher Education, Fall 2006","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Margin (machine learning); Fall of man; Trend analysis; Quarter (Canadian coin)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002920989,0.0005290923,0.0002852184,0.004762937,0.001060264,0.001935654,0.0007749592,0.001277202,0.04253789],"category_scores_gemma":[0.007251097,0.0003893354,0.0001828421,0.00619191,0.0002382456,0.001511955,0.001544388,0.0008530355,0.0308574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008986802,"about_ca_system_score_gemma":0.001616798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131701,"about_ca_topic_score_gemma":0.02591086,"domain_scores_codex":[0.9980786,0.000295543,0.0003207926,0.0002312893,0.0008198018,0.0002540286],"domain_scores_gemma":[0.9908969,0.001391613,0.002112549,0.0005547752,0.003598269,0.001445919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001620153,0.0003575493,0.1066912,0.0001505502,0.000009991179,0.00007212348,0.0004096194,0.00007855847,0.0001836395,0.0004011745,0.841283,0.05020075],"study_design_scores_gemma":[0.00009049895,0.0002386603,0.7281721,0.0003577817,0.00001302474,0.0002317662,0.001499804,0.0004171554,0.000632998,0.000334862,0.2679764,0.00003484055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.164019,0.002557931,0.0009922329,0.0127616,0.001224032,0.0006598581,0.6059881,0.001637521,0.2101598],"genre_scores_gemma":[0.3366748,0.005552828,0.003413398,0.007348084,0.00134609,0.001233606,0.3754528,0.0004663598,0.2685121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04253789,"threshold_uncertainty_score":0.1423035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008653096041520736,"score_gpt":0.2317782823733875,"score_spread":0.2231251863318668,"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."}}