{"id":"W2040765949","doi":"10.1017/s0305000908009021","title":"Preschoolers' word mapping: The interplay between labelling context and specificity of speaker information","year":2008,"lang":"en","type":"article","venue":"Journal of Child Language","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Calgary; University of Waterloo","funders":"Alberta Heritage Foundation for Medical Research; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Object (grammar); Psychology; Word (group theory); Context (archaeology); Linguistics; Test (biology); Communication; Natural language processing; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003964328,0.00008724006,0.0002132873,0.0001052882,0.00008531811,0.00001848614,0.0001482819,0.00004730386,0.000281391],"category_scores_gemma":[0.00007386447,0.00005575922,0.00007230535,0.0000913593,0.0000688103,0.000155633,0.00003356134,0.0004035153,0.0000239013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001478799,"about_ca_system_score_gemma":0.00001867036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000235572,"about_ca_topic_score_gemma":0.000002471875,"domain_scores_codex":[0.9991155,0.00006788777,0.0004619353,0.00006085053,0.0001770743,0.0001167869],"domain_scores_gemma":[0.9992268,0.0001090104,0.0004396177,0.0001082758,0.0000626511,0.00005360856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005978213,0.0001961384,0.3645846,0.00007782996,0.0008827019,0.00015656,0.3800676,0.00003152553,0.0005731959,0.002424407,0.02421018,0.2261974],"study_design_scores_gemma":[0.0007236475,0.00007818426,0.8832294,0.0001684207,0.00001980629,0.0002396313,0.008761635,0.000002815589,0.0003079696,0.00001433601,0.1063723,0.00008182028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842994,0.001599654,0.0004175322,0.0009565138,0.0002158752,0.00007838555,0.000005214189,0.000007234374,0.01242021],"genre_scores_gemma":[0.9987226,0.00007224319,0.0002112503,0.0004220495,0.0003616163,3.33196e-7,0.000002635978,0.00000583925,0.0002014687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5186449,"threshold_uncertainty_score":0.3081034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178694002018392,"score_gpt":0.2667173899100752,"score_spread":0.248847989708236,"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."}}