{"id":"W3210172835","doi":"10.1017/s0272263121000577","title":"INVOLVEMENT LOAD HYPOTHESIS PLUS","year":2021,"lang":"en","type":"article","venue":"Studies in Second Language Acquisition","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Operationalization; Vocabulary; Set (abstract data type); Variance (accounting); Psychology; Test (biology); Computer science; Vocabulary learning; Machine learning; Artificial intelligence; Natural language processing; Statistics; Linguistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05502104,0.003177535,0.004090165,0.003817354,0.0009022854,0.00349648,0.005440978,0.002500756,0.03329026],"category_scores_gemma":[0.09203102,0.0009645876,0.01406088,0.003441681,0.002641099,0.007283966,0.003932059,0.003601776,0.00313528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526622,"about_ca_system_score_gemma":0.002236532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129364,"about_ca_topic_score_gemma":0.0008292032,"domain_scores_codex":[0.9629249,0.01756734,0.004042056,0.007333342,0.006914266,0.001218049],"domain_scores_gemma":[0.8536515,0.126688,0.008254186,0.007150826,0.002872137,0.001383323],"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":[0.02523229,0.002034167,0.2443452,0.09049193,0.2228564,0.003093133,0.001574427,0.01472045,0.002952936,0.05196536,0.02412588,0.3166078],"study_design_scores_gemma":[0.02014529,0.01561612,0.1775663,0.01736332,0.2058994,0.003432638,0.001549523,0.1141905,0.007983094,0.3622479,0.07349762,0.0005083318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3182621,0.1697868,0.3897367,0.02218646,0.01013192,0.01484072,0.02557898,0.003733405,0.04574306],"genre_scores_gemma":[0.9552004,0.003421834,0.02332957,0.003348872,0.001389234,0.005448729,0.003191289,0.0001910124,0.004479112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05502104,"threshold_uncertainty_score":0.2909826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05007211444324945,"score_gpt":0.3541897645712823,"score_spread":0.3041176501280329,"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."}}