{"id":"W1976519407","doi":"10.3138/cmlr.58.1.133","title":"A Functional Approach to Research on Content-based Language Learning: Recasts in Causal Explanations","year":2001,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perspective (graphical); Linguistics; Meaning (existential); Language acquisition; Psychology; Metaphor; Focus (optics); Computer science; Artificial intelligence; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.001663945,0.0003069124,0.0004569246,0.001055436,0.0006057675,0.0001880527,0.0003555494,0.00009986234,0.0009413377],"category_scores_gemma":[0.001559158,0.0002933215,0.0001277555,0.0003886235,0.0002009268,0.0001400476,0.00002909009,0.001006947,0.0001879465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008170048,"about_ca_system_score_gemma":0.0002409704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3126469,"about_ca_topic_score_gemma":0.8232207,"domain_scores_codex":[0.9969969,0.0007345242,0.0003867927,0.0005786741,0.0002228112,0.001080255],"domain_scores_gemma":[0.9979932,0.0004685904,0.00008438435,0.0004398458,0.0002180442,0.0007959174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002058471,0.0006038277,0.007373556,0.004434691,0.0002574832,0.00829505,0.6967143,0.005069717,0.004231209,0.1043766,0.03108925,0.1373485],"study_design_scores_gemma":[0.001337646,0.000517218,0.009280598,0.01112984,0.00009936908,0.0003461889,0.1755889,0.005710709,0.0000385142,0.0001900875,0.7940957,0.001665259],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004148,0.01485766,0.0001814409,0.001958887,0.0002070528,0.0007866326,0.000239169,0.0001462049,0.08120813],"genre_scores_gemma":[0.9786149,0.0004607554,0.0002351446,0.001746081,0.000553198,0.0001989964,0.0007232261,0.00008588916,0.01738176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7630064,"threshold_uncertainty_score":0.9999719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1602388117568891,"score_gpt":0.3063174322302484,"score_spread":0.1460786204733594,"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."}}