{"id":"W4388722256","doi":"10.1167/jov.23.13.9","title":"Development of the mirror-image sensitivity for different object categories—Evidence from the mirror costs of object images in children and adults","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nutrition Society","funders":"National Natural Science Foundation of China","keywords":"Orientation (vector space); Object (grammar); Psychology; Mirror image; Dorsum; Sensitivity (control systems); Categorical variable; Communication; Cognitive psychology; Artificial intelligence; Computer science; Mathematics; Biology; Geometry; Statistics; Anatomy","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":[0.0006298087,0.0002808379,0.0002900309,0.0007232257,0.0002505398,0.0006544957,0.0002221601,0.0004872297,0.001223091],"category_scores_gemma":[0.001906775,0.0002699631,0.0002681446,0.0001618363,0.0007879662,0.0007286071,0.0006318839,0.0004797335,0.0002277085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024486,"about_ca_system_score_gemma":0.0002575311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202036,"about_ca_topic_score_gemma":0.002253679,"domain_scores_codex":[0.9994653,0.00004772018,0.00006657187,0.0001567887,0.0001871659,0.00007648825],"domain_scores_gemma":[0.9984273,0.000254637,0.0006970092,0.0001672985,0.0002237935,0.0002301189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009852403,0.000217374,0.6820039,0.0001440288,0.00008225657,0.001302875,0.003673593,0.000108026,0.2607078,0.0008144598,0.000441784,0.04951871],"study_design_scores_gemma":[0.000004444078,0.0003174168,0.9831972,0.00000874137,0.00001571806,0.001437825,0.0004422326,0.00008570291,0.01388644,0.0001751969,0.000418592,0.00001057504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988005,0.0002600111,0.0002623503,0.00002452647,0.000003917718,0.000005426746,0.0001185582,0.000007930077,0.0005167353],"genre_scores_gemma":[0.9984192,0.0001919834,0.0008218302,0.00002628952,0.000003390847,0.00001468224,0.0001127898,0.000005992308,0.0004038277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00202036,"threshold_uncertainty_score":0.00409162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668001366601143,"score_gpt":0.3150818706068954,"score_spread":0.2784018569408839,"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."}}