{"id":"W2486955569","doi":"10.1075/lllt.30.04tro","title":"Chapter 1. Using priming methods to study L2 learning and teaching","year":2011,"lang":"en","type":"book-chapter","venue":"Language learning and language teaching","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Priming (agriculture); Computer science; Mathematics education; Psychology; Artificial intelligence; Biology; Horticulture","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","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004382513,0.001270679,0.001383433,0.0009468884,0.003314245,0.00102902,0.000397792,0.0004059715,0.004450259],"category_scores_gemma":[0.001043968,0.001200918,0.0002792937,0.0000208837,0.0002235859,0.0003853897,0.0007464836,0.007742625,0.00007358874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065737,"about_ca_system_score_gemma":0.00003068403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006327467,"about_ca_topic_score_gemma":0.0005306663,"domain_scores_codex":[0.9946383,0.001342147,0.0009190343,0.001579884,0.0005257533,0.0009948643],"domain_scores_gemma":[0.997591,0.0007802719,0.0005610926,0.0005392901,0.00006186815,0.0004664626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003538738,0.00004695752,0.0003254542,0.0001136601,0.0003125963,0.0004088152,0.533399,0.00001777528,0.0008623721,0.03105208,0.000006672073,0.4334192],"study_design_scores_gemma":[0.001719765,0.001482566,0.00006696062,0.00207796,0.001480499,0.0004982433,0.6310281,0.001121081,0.0001023657,0.0002878538,0.3562585,0.003876149],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4705465,0.0087199,0.001591229,0.00004890973,0.0004481747,0.0007580629,0.00001139277,0.001057087,0.5168188],"genre_scores_gemma":[0.6602383,0.00003149219,0.01173481,0.000383521,0.001693497,0.00001901729,0.00005540614,0.0004695017,0.3253744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.429543,"threshold_uncertainty_score":0.9990441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103603564519547,"score_gpt":0.3242888488942652,"score_spread":0.2832528132490697,"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."}}