{"id":"W1996832133","doi":"10.1167/14.10.1194","title":"Infant and Adult Localization of a Conjunction Target: An Eye Movement Study","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Conjunction (astronomy); Saccadic masking; Feature (linguistics); Visual search; Habituation; Set (abstract data type); Psychology; Contrast (vision); Eye movement; Audiology; Pattern recognition (psychology); Artificial intelligence; Cognitive psychology; Neuroscience; Computer science; Physics; Medicine","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":[0.0003132247,0.000274734,0.0003324949,0.0007478918,0.0001411271,0.0002931154,0.0001563375,0.0003482274,0.001395435],"category_scores_gemma":[0.001246964,0.0001278239,0.000214454,0.0002467496,0.0001924927,0.0002964923,0.0003390268,0.0004601598,0.0005331491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095088,"about_ca_system_score_gemma":0.0001728947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440534,"about_ca_topic_score_gemma":0.001808376,"domain_scores_codex":[0.9998155,0.00001765494,0.00001838138,0.00006111796,0.00005834168,0.00002904131],"domain_scores_gemma":[0.9993894,0.0001178492,0.0001786765,0.00003802228,0.0001922017,0.00008378048],"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":[0.001723213,0.0005980291,0.2736184,0.0004872906,0.00007348776,0.003544004,0.003694082,0.0001588768,0.6371584,0.000645516,0.001133703,0.07716504],"study_design_scores_gemma":[0.00001151896,0.001532666,0.968735,0.0000316533,0.00005200155,0.002826806,0.0005283781,0.0003624076,0.02372157,0.0000941984,0.002082034,0.00002180885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996286,0.001017496,0.0007130337,0.0000295509,0.000009609366,0.00001794703,0.0003684783,0.00003604903,0.001521714],"genre_scores_gemma":[0.996008,0.00094203,0.001236704,0.00004818387,0.00001133077,0.00005500635,0.0003941922,0.00001276772,0.001291716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001440534,"threshold_uncertainty_score":0.004668176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007767135195534479,"score_gpt":0.3018158732214802,"score_spread":0.2940487380259457,"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."}}