{"id":"W6968495790","doi":"10.5281/zenodo.16743373","title":"VOCABULARY LEARNING STRATEGIES AS PREDICTORS OF ACADEMIC PERFORMANCE AMONG SECONDARY SCHOOL STUDENTS","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Stratified sampling; Quarter (Canadian coin); English vocabulary; Ethnic group; Sample (material); Vocabulary learning; Academic achievement","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006456554,0.0002690329,0.0003235324,0.0007724768,0.0006736898,0.0003069472,0.001399574,0.0003989374,0.6330934],"category_scores_gemma":[0.0003476398,0.0002963081,0.00008579099,0.0004656136,0.0002422611,0.0001935033,0.0008829402,0.001705152,0.01358067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008273017,"about_ca_system_score_gemma":0.00002403915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001077529,"about_ca_topic_score_gemma":3.028046e-7,"domain_scores_codex":[0.9974623,0.0006879604,0.0004016119,0.0005561244,0.0004870685,0.000404927],"domain_scores_gemma":[0.9986856,0.00003269213,0.0003846464,0.000513091,0.0002055189,0.0001784289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001124694,0.0001174489,0.0005881398,0.0003867123,0.0005119185,0.00005536583,0.003699482,0.00004953545,0.0001811868,0.001227879,0.9580213,0.03504854],"study_design_scores_gemma":[0.000726525,0.0002741316,0.01548626,0.0003867838,0.00005084595,0.00004136682,0.005185472,0.00001328811,0.00002842986,0.00001055239,0.9775376,0.0002586989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04039972,0.002179145,0.0001664705,0.00002617414,0.0003692103,0.0004652718,0.0001080317,0.001148785,0.9551372],"genre_scores_gemma":[0.224496,0.0003472213,0.00002594344,0.0003990844,0.0005192107,2.392898e-7,0.002391504,0.004430959,0.7673898],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6195127,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142635925859611,"score_gpt":0.291689279221748,"score_spread":0.2774256866357869,"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."}}