{"id":"W3200224272","doi":"10.14288/1.0401813","title":"Relative pronominal tense : evidence from Gitksan, Japanese, and English","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Linguistics; History; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001257214,0.0000448445,0.0002210085,0.00002530218,0.0003276998,0.0002708468,0.0001286645,0.00006290038,0.0008993878],"category_scores_gemma":[0.000607461,0.0001526788,0.00006411966,0.00004807771,0.0003696945,0.0005212568,0.0001226766,0.0001160574,0.00002061607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004950974,"about_ca_system_score_gemma":0.0000898903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2582883,"about_ca_topic_score_gemma":0.6148888,"domain_scores_codex":[0.9991208,0.00007142065,0.0001250889,0.0003644495,0.0001684614,0.0001497579],"domain_scores_gemma":[0.9986773,0.0002323687,0.0001352447,0.0001966981,0.0006861382,0.00007226328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009910992,0.0004602192,0.08525591,0.0003928458,0.0006333056,0.001521117,0.6462271,0.000006755681,0.0004775222,0.002299173,0.004931968,0.257695],"study_design_scores_gemma":[0.0005429222,0.00005425703,0.9279963,0.0004807779,0.0001438208,0.00001346005,0.0616261,0.000179528,0.000002290879,0.007891402,0.0008573405,0.0002117419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937631,0.0003157631,0.0000891759,0.0007901833,0.0004821796,0.0001322233,0.0002151357,0.00005332926,0.004158938],"genre_scores_gemma":[0.9952893,0.00007410321,0.0007096669,0.00002730282,0.0003242106,4.070548e-7,0.0000295472,0.00001074961,0.003534674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8427405,"threshold_uncertainty_score":0.9847666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987010343560914,"score_gpt":0.1808076926466134,"score_spread":0.1609375892110043,"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."}}