{"id":"W2346511343","doi":"","title":"The Selection Criteria of Advance Organizers in Junior High School English Class","year":2016,"lang":"en","type":"article","venue":"Higher education of social science","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Class (philosophy); Mathematics education; Humanism; Computer science; Psychology; Political science; Artificial intelligence","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":[0.00477052,0.0002354182,0.0004060744,0.001479365,0.001648248,0.001315797,0.0006189431,0.0004573484,0.007836935],"category_scores_gemma":[0.01426348,0.0001483881,0.0002525602,0.000669658,0.000707672,0.0004839727,0.001276832,0.0005479128,0.001395692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008667335,"about_ca_system_score_gemma":0.001311034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029448,"about_ca_topic_score_gemma":0.006753918,"domain_scores_codex":[0.9967082,0.001044903,0.0003284026,0.0003581518,0.0009050898,0.0006552564],"domain_scores_gemma":[0.9882638,0.002688314,0.001827998,0.0004681874,0.002143444,0.004608269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003055747,0.0008944977,0.8278072,0.0003169158,0.00005103592,0.001375293,0.02205052,0.0003479331,0.007153471,0.007742784,0.01079022,0.1184143],"study_design_scores_gemma":[0.0001592161,0.0009394615,0.949824,0.0001607715,0.00006110619,0.0004684292,0.02158703,0.0009235726,0.002209134,0.002199375,0.0214079,0.0000601536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798959,0.0003387547,0.002646898,0.0007205209,0.0001285099,0.0005079469,0.0002348255,0.00002226002,0.01550437],"genre_scores_gemma":[0.9887112,0.000100601,0.002283418,0.0001379395,0.00007413088,0.0003208371,0.0002337929,0.00001471066,0.008123296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007836935,"threshold_uncertainty_score":0.02621716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356367415406643,"score_gpt":0.2895494215307482,"score_spread":0.2759857473766817,"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."}}