{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004301916,0.0001383339,0.0002306673,0.0002315754,0.0001363217,0.00004342704,0.00006650273,0.00005448684,0.001654471],"category_scores_gemma":[0.0005465423,0.0001337919,0.00003560166,0.00008629216,0.0001201121,0.0002548763,0.00003856396,0.0001557718,0.00007107103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001660585,"about_ca_system_score_gemma":0.000009550895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005837114,"about_ca_topic_score_gemma":0.03335111,"domain_scores_codex":[0.9989644,0.0001418053,0.0003186169,0.0002383207,0.0001297283,0.0002071233],"domain_scores_gemma":[0.9993715,0.0002729116,0.0001203419,0.0001018639,0.0001164123,0.00001701842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004160371,0.0001031315,0.002805873,0.0001238763,0.00008095856,0.00001176982,0.5486499,0.00004402436,0.0003993177,0.4457156,0.0003260841,0.001697886],"study_design_scores_gemma":[0.003845001,0.0005537221,0.05044162,0.0007520761,0.0001176484,0.0000147611,0.4365928,0.002806271,0.002041859,0.4974725,0.00429993,0.001061806],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947767,0.0006429845,0.0002170462,0.001088826,0.001132231,0.0002457465,0.00001567506,0.00008972856,0.04880072],"genre_scores_gemma":[0.9971795,0.00001803979,0.0002281332,0.0003597114,0.001137563,0.00003705215,0.00002649284,0.00001678425,0.0009966902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1120571,"threshold_uncertainty_score":0.9992582,"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."}}