{"id":"W2800602896","doi":"10.5539/elt.v11n5p84","title":"The Relationship Between Multiple Intelligences and Language Learning Strategies and Gender","year":2018,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Language learning strategies; Theory of multiple intelligences; Significant difference; Language proficiency; Mathematics education; Test (biology); English language; Set (abstract data type); Language acquisition; Cognition; Metacognition","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":[0.0009873795,0.0001170784,0.00009688854,0.00005547511,0.0007736596,0.0002202467,0.0001376406,0.00008330698,0.0001163474],"category_scores_gemma":[0.001130822,0.00008521508,0.00002283414,0.00007030826,0.0002334293,0.0003305621,0.00005597186,0.0006208567,0.00005546021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009615039,"about_ca_system_score_gemma":0.000009927657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003636534,"about_ca_topic_score_gemma":0.0002189962,"domain_scores_codex":[0.9989926,0.0002574669,0.0001779344,0.0002209372,0.0001143701,0.0002367177],"domain_scores_gemma":[0.9976532,0.002035876,0.00006788691,0.0001632434,0.00002592896,0.00005388276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009661648,0.00000633064,0.4829987,0.00001013494,0.00002411888,0.000004196477,0.4649804,0.00000424748,0.00004994313,0.02188657,0.00007146485,0.02995424],"study_design_scores_gemma":[0.0001265294,0.0001017793,0.3352088,0.00002931739,0.00001966274,0.00001104273,0.6604586,0.0001852517,0.0001724963,0.001412669,0.002079854,0.0001940063],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685211,0.003142966,0.001439201,0.00004285815,0.0002805816,0.00008432877,0.000003190011,0.0001095099,0.02637629],"genre_scores_gemma":[0.9967375,0.00001982665,0.0002740633,0.00004477787,0.001266341,0.000008006383,0.00001316055,0.00001484998,0.001621466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954782,"threshold_uncertainty_score":0.5950442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07160492311907206,"score_gpt":0.3765410620046331,"score_spread":0.304936138885561,"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."}}