{"id":"W2063882921","doi":"10.1017/s0272263103220258","title":"<b>INDIVIDUAL DIFFERENCES IN FOREIGN LANGUAGE LEARNING: EFFECTS OF APTITUDE, INTELLIGENCE, AND MOTIVATION.</b><i>Steve Cornwell and Peter Robinson (Eds.)</i>. Tokyo: Aoyama Gakuin University, 2000. Pp. ii + 199. $29.00 paper.","year":2003,"lang":"en","type":"article","venue":"Studies in Second Language Acquisition","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Test (biology); Mathematics education; Construct (python library); Aptitude; Construct validity; Goal theory; Humanities; Developmental psychology; Psychometrics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004399065,0.0002231837,0.0003774366,0.0002278965,0.0003311496,0.00005919305,0.0001045587,0.00007660242,0.0007742445],"category_scores_gemma":[0.0002139169,0.0002050192,0.00004409274,0.0001044193,0.0003522219,0.0003710141,0.0001314331,0.0003634257,0.00000358478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004654273,"about_ca_system_score_gemma":0.00001603289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003160085,"about_ca_topic_score_gemma":0.001532747,"domain_scores_codex":[0.998609,0.0003552814,0.000274961,0.0003266361,0.0001646446,0.000269466],"domain_scores_gemma":[0.9990876,0.0005497667,0.0001527726,0.0001217947,0.0000461844,0.00004182142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009659519,0.0002560564,0.04369064,0.0009010941,0.0002224388,0.0002049871,0.9051546,0.00006604908,0.0009657628,0.04108661,0.0004912869,0.006863865],"study_design_scores_gemma":[0.003164374,0.001652921,0.06132546,0.001501648,0.0001561442,0.00003130415,0.9083135,0.0001236859,0.00189131,0.001858667,0.01891502,0.001066001],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531301,0.02623917,0.00001546036,0.00001603898,0.0001214525,0.0002262675,0.00001540505,0.00004034633,0.02019572],"genre_scores_gemma":[0.9958463,0.00122976,0.00008545148,0.0001406773,0.00008619126,0.00000678244,0.00002973399,0.00001706181,0.002557982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04271621,"threshold_uncertainty_score":0.8477435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084709844328589,"score_gpt":0.2385298941181097,"score_spread":0.2176827956748238,"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."}}