{"id":"W2079564113","doi":"10.1177/0142723713479436","title":"Developmental Sentence Scoring for Japanese","year":2013,"lang":"en","type":"article","venue":"First Language","topic":"Language Development and Disorders","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Mean length of utterance; Sentence; Utterance; Psychology; Language development; Linguistics; Natural language processing; Developmental psychology; Artificial intelligence; Computer science","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":[0.002354641,0.0005070193,0.0003343637,0.001810792,0.0005031101,0.0005365353,0.0005144849,0.0001936143,0.00295797],"category_scores_gemma":[0.007196199,0.0001912144,0.0004835931,0.001031666,0.0003156845,0.0006987083,0.0009577865,0.0004688147,0.0009740498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006682573,"about_ca_system_score_gemma":0.0009525524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006551913,"about_ca_topic_score_gemma":0.01603931,"domain_scores_codex":[0.9983245,0.0004122037,0.0003323704,0.0002285309,0.0006137855,0.00008869614],"domain_scores_gemma":[0.9956898,0.0005746365,0.0005292883,0.0003693312,0.002576433,0.0002605267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004681586,0.0001467628,0.3529357,0.0006705532,0.00008249671,0.000607472,0.009181727,0.0009387205,0.0388813,0.004845336,0.01700988,0.5742319],"study_design_scores_gemma":[0.00004730726,0.001047739,0.9120733,0.0001557668,0.000138329,0.002804186,0.002910529,0.007000354,0.0202353,0.001777714,0.05162698,0.0001825026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8717031,0.001162353,0.08375274,0.0003702823,0.0003477281,0.001038451,0.006487727,0.001266956,0.03387068],"genre_scores_gemma":[0.8562582,0.0006523931,0.1282767,0.0001196338,0.00005440833,0.001462077,0.006386907,0.0002438482,0.006545943],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006551913,"threshold_uncertainty_score":0.01302755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585963615865494,"score_gpt":0.272607117883377,"score_spread":0.2567474817247221,"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."}}