{"id":"W4206456834","doi":"10.31234/osf.io/cb3fe","title":"Quantifying children's sensorimotor experience: Child body-object interaction ratings for 3,359 English words","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Referent; Psychology; Embodied cognition; Perspective (graphical); Cognitive psychology; Cognition; Object (grammar); Valence (chemistry); Developmental psychology; Age of Acquisition; Linguistics; Artificial intelligence; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257224,0.0004834208,0.0003561927,0.001105164,0.0002034935,0.0007548857,0.0002320408,0.0004218004,0.002404061],"category_scores_gemma":[0.006164167,0.0002824762,0.0004433146,0.000499984,0.000473916,0.0005049314,0.0007212513,0.0004557562,0.00048485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002292963,"about_ca_system_score_gemma":0.0001542801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003982796,"about_ca_topic_score_gemma":0.008838561,"domain_scores_codex":[0.9993938,0.00007851785,0.0001051449,0.0001279555,0.000216171,0.00007840561],"domain_scores_gemma":[0.9956345,0.001303278,0.001803473,0.0002148789,0.0007479666,0.00029592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003276622,0.0001313933,0.9324732,0.000189967,0.00006826004,0.000560638,0.01317037,0.0002576313,0.0274938,0.0001200381,0.0005105914,0.02469648],"study_design_scores_gemma":[0.000002664219,0.0001439002,0.9957912,0.000008378898,0.00001330588,0.0002789682,0.001455096,0.0001135846,0.001789755,0.00001854483,0.0003748222,0.000009566529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982389,0.00008083699,0.0002660995,0.00001055411,0.000002762654,0.0000140186,0.0003138242,0.00001735152,0.001055631],"genre_scores_gemma":[0.9964216,0.0002622796,0.00136533,0.00001298815,0.000003812275,0.0000531449,0.0007062294,0.00001664124,0.001157994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003982796,"threshold_uncertainty_score":0.008042395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06045620874172254,"score_gpt":0.375223357515053,"score_spread":0.3147671487733305,"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."}}