{"id":"W261816994","doi":"10.11575/prism/31628","title":"Business with words: Language programs that generate revenue and impact communities","year":2006,"lang":"en","type":"article","venue":"Open MIND","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foreign language; Revenue; Economic impact analysis; Business; Linguistics; Political science; Sociology; Economics; Finance; Pedagogy","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":[0.0003323384,0.0000554036,0.00008827742,0.00002275885,0.0002926733,0.0005328509,0.0001702764,0.00002988174,0.0003251534],"category_scores_gemma":[0.000007091401,0.0000404157,0.000009113196,0.0001789847,0.0001298983,0.0002099033,0.00003121284,0.00003948643,0.00002691832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002519888,"about_ca_system_score_gemma":0.0002135848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2326363,"about_ca_topic_score_gemma":0.1289165,"domain_scores_codex":[0.9995241,0.0001210069,0.00006274138,0.00006363869,0.00009235401,0.0001361574],"domain_scores_gemma":[0.9996982,0.00002419659,0.00005812547,0.0001203411,0.0000448213,0.0000542654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001986233,0.0001093495,0.3272052,0.00001297285,0.00002528842,0.000007069912,0.4723528,0.000007404994,0.00007782934,0.0005797467,0.005118789,0.1944837],"study_design_scores_gemma":[0.0003407414,0.00003959017,0.05592836,0.0001449663,0.00001489092,0.000009634336,0.2833011,0.000002373137,0.0001419738,0.00006765327,0.6597891,0.0002195731],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626464,0.0002139242,0.000003346509,0.0007342656,0.00004303562,0.000245899,0.00002214298,0.000001497942,0.03608952],"genre_scores_gemma":[0.9800028,0.00001777223,0.0005196678,0.00003107632,0.0002617041,0.00001771693,0.00002584057,0.000005667057,0.01911781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6546703,"threshold_uncertainty_score":0.8869785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0813771943686055,"score_gpt":0.3942105991387295,"score_spread":0.312833404770124,"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."}}