{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005130849,0.0002437724,0.0004001705,0.0001682327,0.0001369159,0.0000395126,0.0001559108,0.0001340257,0.205302],"category_scores_gemma":[0.0002826104,0.0002465083,0.0001291818,0.0004374246,0.0001205974,0.0001487457,0.0001348593,0.000272564,0.000922876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004506291,"about_ca_system_score_gemma":0.00009442089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000637741,"about_ca_topic_score_gemma":0.0005119084,"domain_scores_codex":[0.9978901,0.0003491143,0.0004376224,0.0005734643,0.0002752156,0.0004745534],"domain_scores_gemma":[0.9986424,0.0004322437,0.0001271478,0.0005489392,0.0001740765,0.00007512229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004706862,0.0008821753,0.001229351,0.000660815,0.001693415,0.02105051,0.7911425,0.00009465302,0.03094622,0.007474048,0.07726478,0.06709088],"study_design_scores_gemma":[0.006774493,0.000229564,0.02672972,0.0004128297,0.0001214007,0.0005358703,0.9212279,0.00002912408,0.01507721,0.001136248,0.02655861,0.001167052],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8138459,0.1137078,0.0000573033,0.0002907339,0.001240184,0.0001886161,0.00002788741,0.000127207,0.07051439],"genre_scores_gemma":[0.9582305,0.0001123793,0.0004767652,0.02592948,0.0005290401,0.0001343827,0.00007635703,0.00003943313,0.01447168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2043791,"threshold_uncertainty_score":0.9999987,"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."}}