{"id":"W2137449983","doi":"10.1017/s0305000915000458","title":"Children's identification of questions from rising terminal pitch","year":2015,"lang":"en","type":"article","venue":"Journal of Child Language","topic":"Reading and Literacy Development","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Terminal (telecommunication); Identification (biology); Linguistics; Developmental psychology; Communication; Telecommunications; 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":[0.001368076,0.0005144758,0.0004661437,0.000810675,0.0002020737,0.001249652,0.0003294761,0.000799004,0.003259553],"category_scores_gemma":[0.005948232,0.0004840282,0.0003604868,0.0002205248,0.0007296497,0.001104145,0.0008610332,0.0007252355,0.001097109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259821,"about_ca_system_score_gemma":0.0003093421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003163888,"about_ca_topic_score_gemma":0.004182484,"domain_scores_codex":[0.9993098,0.0000824533,0.0001097017,0.0002031,0.0001702602,0.0001247614],"domain_scores_gemma":[0.996092,0.001871274,0.001108263,0.0002231894,0.000394489,0.0003108007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001821328,0.0002361851,0.4833634,0.001042101,0.0001085939,0.006504048,0.0509106,0.0004393309,0.3797951,0.0009208476,0.002187746,0.07267075],"study_design_scores_gemma":[0.00004574202,0.0008482487,0.9473695,0.0001328101,0.00009522806,0.005094261,0.01007919,0.0005569411,0.03191593,0.0005108116,0.00327883,0.00007245716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980732,0.0001244909,0.0002603451,0.00002804403,0.000008360087,0.00001275415,0.0001365338,0.00004211381,0.001314138],"genre_scores_gemma":[0.9968454,0.0002605613,0.001230014,0.00005608757,0.000003795442,0.00003065091,0.0003693676,0.00001678583,0.001187296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003259553,"threshold_uncertainty_score":0.01090425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139725867129688,"score_gpt":0.3133591964986659,"score_spread":0.301961937827369,"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."}}