{"id":"W2739731765","doi":"10.5539/ijel.v7n5p196","title":"Selection and Gradation of Materials: A Review of the Second Semester’s English Materials of Preparatory Year, Najran University","year":2017,"lang":"en","type":"review","venue":"International Journal of English Linguistics","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Najran University","keywords":"Gradation; Grading (engineering); Selection (genetic algorithm); Mathematics education; Psychology; Medical education; Computer science; Engineering; Medicine; Civil engineering; 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":[0.006876642,0.0003870366,0.0009591267,0.006193142,0.0008208831,0.001236999,0.001106935,0.0005643459,0.001437152],"category_scores_gemma":[0.01814721,0.0002922567,0.0005934949,0.004925443,0.0004829344,0.00160962,0.0007640867,0.00065391,0.0004883882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109268,"about_ca_system_score_gemma":0.007862191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003888774,"about_ca_topic_score_gemma":0.01331418,"domain_scores_codex":[0.9956794,0.001260063,0.001131807,0.0002374823,0.001565503,0.0001258109],"domain_scores_gemma":[0.9880691,0.004174991,0.00195392,0.000239732,0.005170268,0.0003918745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001264971,0.0001746926,0.005286054,0.07135998,0.0001088911,0.001124835,0.003643652,0.00007518595,0.002485301,0.0005668031,0.009126285,0.9059218],"study_design_scores_gemma":[0.00005026888,0.001381619,0.07652926,0.102501,0.0009202902,0.007045606,0.01281455,0.0001211005,0.004629719,0.0004017843,0.7935075,0.000097213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02876594,0.9613633,0.0009444421,0.002208278,0.0006094823,0.0007920513,0.0002637384,0.00002839568,0.005024344],"genre_scores_gemma":[0.07123793,0.9205586,0.003974671,0.001079545,0.0002557265,0.0004163935,0.0004913764,0.00002241523,0.001963347],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006876642,"threshold_uncertainty_score":0.0363676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06031143012612973,"score_gpt":0.3244630930896928,"score_spread":0.2641516629635631,"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."}}