{"id":"W1988731940","doi":"10.1044/1092-4388(2004/032)","title":"Input That Contradicts Young Children’s Strategy for Mapping Novel Words Affects Their Phonological and Semantic Interpretation of Other Novel Words","year":2004,"lang":"en","type":"article","venue":"Journal of Speech Language and Hearing Research","topic":"Language Development and Disorders","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"AGE-WELL","keywords":"Referent; Psychology; Noun; Vocabulary; Rhyme; Similarity (geometry); Interpretation (philosophy); Phonology; Vocabulary development; Linguistics; Selection (genetic algorithm); Cognitive psychology; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001469371,0.0001439208,0.0003356242,0.0004197792,0.0001051456,0.00009225085,0.0001657387,0.0001508873,0.00006662016],"category_scores_gemma":[0.000169495,0.0001048746,0.00007383783,0.0002012653,0.0001598422,0.0001617512,0.00006693652,0.0004733177,0.000001461258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005169346,"about_ca_system_score_gemma":0.0000852782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004545513,"about_ca_topic_score_gemma":0.0001345431,"domain_scores_codex":[0.9987196,0.00005590499,0.0003098393,0.0002132998,0.0003070247,0.000394287],"domain_scores_gemma":[0.9991946,0.0002816913,0.0001684009,0.0001286786,0.0001156373,0.0001110416],"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":[0.002807837,0.001293616,0.2158571,0.0005832654,0.00140116,0.0003254354,0.2704935,0.00008699801,0.187101,0.004000796,0.0002666301,0.3157827],"study_design_scores_gemma":[0.01646456,0.001878933,0.8547054,0.001534653,0.00008187477,0.001721499,0.09922765,0.0003102208,0.02136761,0.002052511,0.00009691356,0.0005582148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872881,0.003277301,0.007803009,0.0003210577,0.0001183026,0.0003654624,0.00000968529,0.00001187065,0.0008052388],"genre_scores_gemma":[0.9972198,0.00008225621,0.002256039,0.00007336827,0.0001665532,0.000008020349,0.000004048967,0.00002089617,0.0001690194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6388483,"threshold_uncertainty_score":0.4276661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07858960484128247,"score_gpt":0.3659818216524499,"score_spread":0.2873922168111674,"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."}}