{"id":"W2117837388","doi":"10.5539/ies.v3n2p134","title":"Enhancing Language Teaching and Learning by Keeping Individual Differences in Perspective","year":2010,"lang":"en","type":"article","venue":"International Education Studies","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theory of multiple intelligences; Perspective (graphical); Mathematics education; Psychology; Cognition; Teaching method; Learning theory; Cognitive style; Affect (linguistics); Pedagogy; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004395045,0.00008313626,0.00009750184,0.0001520607,0.0001635659,0.00004024354,0.000116063,0.00004125663,0.0002525182],"category_scores_gemma":[0.000859758,0.00007856865,0.000017255,0.00005647566,0.00007514199,0.0001720679,0.00004532904,0.0006432005,0.0000428356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004374408,"about_ca_system_score_gemma":0.00003122111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056073,"about_ca_topic_score_gemma":0.0004575507,"domain_scores_codex":[0.999306,0.00007470087,0.0001675236,0.0001994826,0.0001414949,0.0001108012],"domain_scores_gemma":[0.9992975,0.0003475862,0.00007671964,0.00005275577,0.000202158,0.00002330195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002599023,0.00035115,0.4308408,0.0000160013,0.0003110864,0.000002329924,0.41141,0.000003432585,0.00654224,0.07260603,0.002467131,0.07542373],"study_design_scores_gemma":[0.0002153434,0.0000569796,0.3537483,0.0001290448,0.00001428216,0.00002959881,0.6336823,0.00005175561,0.000864488,0.003275167,0.00768142,0.0002513341],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769974,0.002180501,0.00008812048,0.001394768,0.002716137,0.00005142862,0.000004572235,0.00002117992,0.0165459],"genre_scores_gemma":[0.9930342,0.00009015582,0.0005557935,0.0004108912,0.0003117255,0.00004535243,0.00001357693,0.000005880646,0.005532378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2222723,"threshold_uncertainty_score":0.3203937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0510462395851206,"score_gpt":0.4414199107621742,"score_spread":0.3903736711770536,"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."}}