{"id":"W2065293493","doi":"10.3138/cmlr.58.4.576","title":"The Need to Draw Second Language Learners' Attention to the Semantic Boundaries of Syntactically Relevant Verb Classes","year":2002,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Verb; Linguistics; Computer science; Grammar; Focus (optics); Vocabulary; Natural language processing; Class (philosophy); Judgement; Motion (physics); Syntax; Artificial intelligence; Psychology","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":[0.001121196,0.0001898942,0.0003444146,0.0005084164,0.0005191072,0.001951898,0.0004608239,0.001165986,0.002124522],"category_scores_gemma":[0.006844779,0.0001993817,0.0001782835,0.0003211655,0.001818071,0.002502793,0.001188595,0.001724125,0.000510211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057559,"about_ca_system_score_gemma":0.001250659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003034051,"about_ca_topic_score_gemma":0.00520792,"domain_scores_codex":[0.9995408,0.0001548706,0.00002231187,0.0001127861,0.0001226058,0.00004662129],"domain_scores_gemma":[0.9957722,0.002701079,0.0005356852,0.0002762833,0.0004663893,0.0002483529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002376052,0.000259733,0.04877903,0.001724147,0.00005840753,0.001885475,0.06956391,0.001112831,0.142424,0.067981,0.008125749,0.6578482],"study_design_scores_gemma":[0.0001591664,0.001385547,0.2301636,0.001082032,0.00019329,0.007333865,0.05174385,0.003534598,0.03703229,0.3835062,0.2835991,0.0002664549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597199,0.006379367,0.05189622,0.01886472,0.0002521936,0.00008047979,0.00004822287,0.0003381352,0.06242073],"genre_scores_gemma":[0.9724579,0.003283056,0.0166961,0.002659207,0.0001388194,0.00005701126,0.00005191795,0.00005459323,0.00460137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003034051,"threshold_uncertainty_score":0.007107198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368628093747446,"score_gpt":0.2601791007711494,"score_spread":0.246492819833675,"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."}}