{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408944,0.0002995938,0.0002872928,0.0005865844,0.0006057555,0.002976112,0.0005235011,0.0005388996,0.002531494],"category_scores_gemma":[0.00320103,0.0001122259,0.0002708285,0.0003441166,0.001207821,0.001615947,0.002824183,0.001013445,0.0005851712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005758382,"about_ca_system_score_gemma":0.0007607645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004933545,"about_ca_topic_score_gemma":0.0008505668,"domain_scores_codex":[0.9986315,0.0005638375,0.00005398156,0.0002054919,0.0003962574,0.0001488978],"domain_scores_gemma":[0.9979578,0.0009962179,0.0002866744,0.0001946591,0.0001560057,0.0004085761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001069339,0.001884655,0.03252602,0.0004366021,0.0001137079,0.000427286,0.0294203,0.002719829,0.02866537,0.04107655,0.003541657,0.8590811],"study_design_scores_gemma":[0.0002400868,0.003843044,0.2891845,0.00079895,0.000506191,0.003866328,0.05680456,0.007219201,0.04141437,0.2841734,0.3117385,0.0002108937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7656984,0.003142711,0.04909636,0.007271043,0.0001690491,0.0000967158,0.00003895509,0.0003651662,0.1741216],"genre_scores_gemma":[0.964569,0.00154025,0.02659322,0.0004996871,0.00006833167,0.0000556175,0.00002427979,0.00004875096,0.006600835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002976112,"threshold_uncertainty_score":0.008468688,"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."}}