{"id":"W2139417735","doi":"10.1017/s0272263114000321","title":"MOOD SELECTION IN RELATIVE CLAUSES","year":2014,"lang":"en","type":"article","venue":"Studies in Second Language Acquisition","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université Laval","funders":"","keywords":"Linguistics; Syntax; Focus (optics); Semantics (computer science); Pragmatics; Fossilization; Contrast (vision); Psychology; Interface (matter); Phrase; Computer science; Mood; Second-language acquisition; Selection (genetic algorithm); Interpretation (philosophy); Artificial intelligence; Philosophy","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":[0.001578934,0.000365105,0.0003357466,0.0005013317,0.0005771074,0.001762445,0.0005103435,0.0005463017,0.006112057],"category_scores_gemma":[0.005691361,0.0004657784,0.0003772858,0.0003853134,0.001289872,0.002384371,0.001317825,0.0008153773,0.001043277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007233849,"about_ca_system_score_gemma":0.0003325815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329338,"about_ca_topic_score_gemma":0.001470085,"domain_scores_codex":[0.9979697,0.001000511,0.0001056959,0.0003384223,0.0004442686,0.0001415279],"domain_scores_gemma":[0.9976397,0.00139211,0.0002589627,0.0002324586,0.0003843256,0.00009249449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007881277,0.0002022492,0.03936724,0.0007596812,0.00007664521,0.001820636,0.04280807,0.001401455,0.2777492,0.3673763,0.00520565,0.2624448],"study_design_scores_gemma":[0.0004635201,0.001599452,0.2061844,0.000465276,0.0002078351,0.008085399,0.02685933,0.02071801,0.1924646,0.3984006,0.1440565,0.0004949385],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741174,0.0008791631,0.03426796,0.0006177714,0.00008649854,0.0001192557,0.000295958,0.0004692811,0.08914665],"genre_scores_gemma":[0.9907259,0.0001406462,0.005763049,0.0001226839,0.00002286538,0.00002338655,0.0001493506,0.00009566118,0.002956341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006112057,"threshold_uncertainty_score":0.0204469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539843102587156,"score_gpt":0.2858509044261967,"score_spread":0.2604524734003251,"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."}}