{"id":"W3169159732","doi":"10.3389/fpsyg.2021.686478","title":"Development of Abstract Word Knowledge","year":2021,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Vocabulary; Embodied cognition; Word (group theory); Language acquisition; Vocabulary development; Linguistics; Cognitive psychology; Age of Acquisition; Meaning (existential); Word learning; Cognition; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002211099,0.00009466463,0.0002087779,0.0001982597,0.00003349989,0.000004319348,0.0001255357,0.0001839616,0.003145738],"category_scores_gemma":[0.00003588647,0.0001068373,0.00003790837,0.0004834901,0.00005652837,0.00005012277,0.00001951161,0.0001553724,0.0002109373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005253636,"about_ca_system_score_gemma":0.00009941383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001590433,"about_ca_topic_score_gemma":0.00003254077,"domain_scores_codex":[0.9988857,0.00008688649,0.0004665855,0.0002944257,0.00007201564,0.000194367],"domain_scores_gemma":[0.9994285,0.00002301621,0.0001249765,0.0002882459,0.00009456001,0.00004066411],"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":[0.0000788246,0.0007201586,0.1163497,0.00001915806,0.00008214032,0.00002495601,0.005263627,0.000002957941,0.0009759115,0.002428304,0.1509183,0.7231359],"study_design_scores_gemma":[0.0009665447,0.00001108885,0.51474,0.00001330399,0.000004005783,0.00001067443,0.001423992,0.00002018792,0.0004344659,0.0008939812,0.4813694,0.0001123286],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3592378,0.003020754,0.307018,0.0009533931,0.01805349,0.0002331092,0.000005740723,0.00008852379,0.3113893],"genre_scores_gemma":[0.8561289,0.00007950524,0.1370676,0.0008935947,0.0001388827,0.00005188282,0.00009166761,0.00003372958,0.005514284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7230237,"threshold_uncertainty_score":0.9977655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05265645457139859,"score_gpt":0.3658275664297631,"score_spread":0.3131711118583645,"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."}}