{"id":"W3040690448","doi":"10.1111/cogs.12888","title":"Causal Information‐Seeking Strategies Change Across Childhood and Adolescence","year":2020,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; National Science Foundation; James S. McDonnell Foundation; Jacobs Foundation; National Defense Science and Engineering Graduate; U.S. Department of Defense","keywords":"Psychological intervention; Psychology; Intervention (counseling); Centrality; Causal inference; Developmental psychology; Metacognition; Bayesian network; Causal model; Causal structure; Cognitive psychology; Attribution; Cognition; Social psychology; Artificial intelligence; Computer science; Econometrics; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283577,0.0002315671,0.0003070839,0.0006732153,0.000261191,0.00123536,0.000314722,0.0005100337,0.001142949],"category_scores_gemma":[0.01311823,0.0004412437,0.0002678953,0.0002956942,0.0008559932,0.0006170074,0.0007866856,0.0008867321,0.0001384475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004316698,"about_ca_system_score_gemma":0.0004918238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002648547,"about_ca_topic_score_gemma":0.004022841,"domain_scores_codex":[0.9993703,0.0001610374,0.00003923762,0.0001237211,0.0001933256,0.0001124848],"domain_scores_gemma":[0.9920804,0.003423421,0.00301586,0.0004553001,0.0005747154,0.000450311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003741105,0.0008358417,0.8431292,0.0002014438,0.0001399182,0.0005154089,0.0148767,0.001659076,0.04769389,0.004204032,0.0005302303,0.08584006],"study_design_scores_gemma":[0.00001773704,0.0004131017,0.9819152,0.00005617484,0.00005373764,0.0003968652,0.002629923,0.001840593,0.008527956,0.002156074,0.00196834,0.00002416294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984826,0.0001598124,0.0006158319,0.00005592813,0.000001277786,0.000006180341,0.00002251939,0.00001392039,0.0006419019],"genre_scores_gemma":[0.9982049,0.000171996,0.001345113,0.00001622994,0.000001331344,0.00001414025,0.00003816256,0.000005016271,0.0002030106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002648547,"threshold_uncertainty_score":0.01207685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04397308050688763,"score_gpt":0.3282441900522371,"score_spread":0.2842711095453495,"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."}}