{"id":"W1715324030","doi":"","title":"Negative Transfer and Acquisition of Non-agentive Passive Voice","year":2010,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Negative transfer; Passive voice; Second-language acquisition; Language acquisition; Psychology; Transfer (computing); Linguistics; Computer science; First language","routes":{"ca_aff":false,"ca_fund":false,"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":[0.002051052,0.0002972829,0.0002491045,0.0007553168,0.0005407128,0.001960304,0.0003951519,0.0004570222,0.005689003],"category_scores_gemma":[0.02061546,0.0001409223,0.0001540064,0.0002718237,0.001605245,0.002362085,0.0021314,0.001224688,0.000630357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003647897,"about_ca_system_score_gemma":0.0006447143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003426023,"about_ca_topic_score_gemma":0.0002544988,"domain_scores_codex":[0.9982032,0.0005571909,0.0001053168,0.00017471,0.0008241248,0.0001354769],"domain_scores_gemma":[0.9874455,0.008024551,0.001738927,0.0007153054,0.00159952,0.0004762078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006382486,0.001432298,0.2626877,0.001082414,0.00009082894,0.005256471,0.1635807,0.0006802018,0.1366637,0.05781302,0.001349021,0.3687254],"study_design_scores_gemma":[0.00009215037,0.00232986,0.673704,0.0006927987,0.0001907223,0.01505673,0.1106997,0.003444643,0.07450145,0.08211735,0.0369908,0.0001798076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487149,0.0002989068,0.004452993,0.0002909683,0.00003349911,0.00003853195,0.00002479966,0.00004976143,0.04609575],"genre_scores_gemma":[0.9966388,0.0001545915,0.0006545469,0.00005614851,0.00001224515,0.00002186124,0.00002095297,0.00001889642,0.002421967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005689003,"threshold_uncertainty_score":0.01903158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183264294507537,"score_gpt":0.281119837697153,"score_spread":0.2692871947520776,"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."}}