{"id":"W2130348807","doi":"10.18806/tesl.v0i0.1041","title":"Guidelines for the Selection of Topical Content in ESL Programs","year":2004,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Social Work Education and Practice","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Set (abstract data type); Face (sociological concept); Content (measure theory); Pedagogy; Psychology; Ethical issues; Engineering ethics; Sociology; Computer science; Engineering; Social science","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":[0.0007524188,0.00002896892,0.00005513083,0.00001364859,0.0004568108,0.00003511207,0.00009977785,0.0000257073,0.001126843],"category_scores_gemma":[0.00166197,0.00002085167,0.00002769081,0.0002075611,0.00004372198,0.00004763381,0.00000294099,0.0001131032,3.384399e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751421,"about_ca_system_score_gemma":0.002763016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5859476,"about_ca_topic_score_gemma":0.8959557,"domain_scores_codex":[0.999362,0.00006187051,0.0001805006,0.000037835,0.0002333428,0.0001244694],"domain_scores_gemma":[0.9991956,0.0002056928,0.0001048346,0.00002585536,0.0004125339,0.00005543946],"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":[0.0002108152,0.0004005387,0.03960286,0.0000209169,0.000141441,0.000009903297,0.02892738,0.0006456525,0.0002151763,0.2591978,0.3724619,0.2981656],"study_design_scores_gemma":[0.0003292089,0.00003388022,0.01265104,0.0000106051,0.00001146001,0.000007403332,0.02318078,0.00001046508,0.00004694276,0.002359377,0.9613163,0.00004255495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1373141,0.005548986,0.00241672,0.8449857,0.003837906,0.0008617681,0.000002417002,0.00001987561,0.00501255],"genre_scores_gemma":[0.9722842,0.0000842174,0.001927001,0.02254962,0.001199587,0.00002267453,6.730045e-7,0.000005410459,0.00192662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8349701,"threshold_uncertainty_score":0.9997863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2131048770329899,"score_gpt":0.42704174539854,"score_spread":0.2139368683655501,"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."}}