{"id":"W2159149804","doi":"10.1037/a0029382","title":"How yellow is your banana? Toddlers' language-mediated visual search in referent-present tasks.","year":2012,"lang":"en","type":"article","venue":"Developmental Psychology","topic":"Categorization, perception, and language","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Max-Planck-Gesellschaft; Georg-August-Universität Göttingen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Referent; Psychology; Salience (neuroscience); Lexicon; Toddler; Vocabulary development; Categorization; Color term; Meaning (existential); Vocabulary; Cognitive psychology; Linguistics; Communication; Artificial intelligence; Developmental psychology; 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":[0.001152006,0.000677932,0.0004186364,0.0004860849,0.0003138952,0.001597485,0.0004928457,0.0005535989,0.002433259],"category_scores_gemma":[0.009405785,0.000405825,0.0004191128,0.0002135326,0.0006917057,0.001065343,0.000743502,0.0006411435,0.0009446397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409983,"about_ca_system_score_gemma":0.000367688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273834,"about_ca_topic_score_gemma":0.01166886,"domain_scores_codex":[0.9994005,0.0001268252,0.00004699626,0.000190878,0.0001594293,0.00007549252],"domain_scores_gemma":[0.9978989,0.0008515557,0.0005558117,0.0003574809,0.0002103535,0.0001259469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001508234,0.0006713996,0.3635491,0.001245181,0.000241378,0.00604298,0.07659565,0.001086688,0.3930713,0.005606676,0.007452934,0.1429286],"study_design_scores_gemma":[0.0001056264,0.001274973,0.9034993,0.0003041268,0.0002249218,0.003889123,0.03173057,0.001975574,0.03980808,0.004430601,0.01254353,0.000213604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920788,0.0003777442,0.0008759874,0.00007834617,0.00001468262,0.00002555137,0.0001976853,0.00007944875,0.006271703],"genre_scores_gemma":[0.9939489,0.0003968877,0.002401034,0.0001045519,0.000003166263,0.00004324594,0.0003233757,0.00003446769,0.002744246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01273834,"threshold_uncertainty_score":0.0253284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05853577293573656,"score_gpt":0.3859230682850496,"score_spread":0.3273872953493131,"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."}}