{"id":"W2061324598","doi":"10.3138/cmlr.2023","title":"Eliciting Production of L2 Target Structures through Priming Activities","year":2014,"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":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Éducation, du Loisir et du Sport Québec","keywords":"Priming (agriculture); Adverbial; Psychology; Sentence; Context (archaeology); Mathematics education; Prime (order theory); Production (economics); Linguistics; Computer science; Natural language processing; Mathematics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287165,0.0004615117,0.0002893911,0.0003492914,0.000536809,0.0006621633,0.0004888771,0.0005797733,0.005618848],"category_scores_gemma":[0.00613567,0.0002912509,0.0001579909,0.000305565,0.0005487608,0.0007686258,0.00156241,0.0006777534,0.001105591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004754768,"about_ca_system_score_gemma":0.0008578001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003811291,"about_ca_topic_score_gemma":0.0007172303,"domain_scores_codex":[0.9987468,0.0008183471,0.00004371989,0.000204657,0.0001223564,0.00006411428],"domain_scores_gemma":[0.9950381,0.003892314,0.0004178619,0.0002458959,0.0002341333,0.0001716159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002913183,0.002751475,0.01382306,0.003243821,0.00003545402,0.001358198,0.02650446,0.0006732686,0.6437533,0.01087962,0.002644037,0.2914201],"study_design_scores_gemma":[0.001147434,0.01246526,0.0914443,0.0009643013,0.0001845885,0.004013874,0.01322304,0.004873165,0.7828997,0.0146157,0.07403955,0.000129019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549212,0.0007236262,0.02316897,0.000350529,0.00005459772,0.0006792586,0.000114604,0.0002760374,0.0197111],"genre_scores_gemma":[0.968919,0.0005237726,0.02681123,0.0001848004,0.00002028653,0.0007346863,0.00008385053,0.00005859508,0.002663753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005618848,"threshold_uncertainty_score":0.01879692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014979841649454,"score_gpt":0.2316809976651634,"score_spread":0.2115311992486688,"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."}}