{"id":"W4376643224","doi":"10.1111/cdev.13931","title":"Children's hypothetical reasoning about complex and dynamic systems","year":2023,"lang":"en","type":"article","venue":"Child Development","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Psychology; Developmental psychology; Causal reasoning; Cognitive development; Causal model; Class (philosophy); Cognition; Statistics; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002589224,0.0004479354,0.0003226684,0.0009218903,0.0004094582,0.002486546,0.0005674441,0.00082432,0.003564527],"category_scores_gemma":[0.01128385,0.0005188062,0.0004994803,0.0003539326,0.001650514,0.001456949,0.0009415204,0.001073166,0.0005432353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007685987,"about_ca_system_score_gemma":0.0009129407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960078,"about_ca_topic_score_gemma":0.02429787,"domain_scores_codex":[0.9992266,0.0001150197,0.00009144475,0.0001272915,0.0002863106,0.0001532393],"domain_scores_gemma":[0.9910648,0.005048598,0.002178154,0.0004816696,0.0007620356,0.0004648698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003197174,0.0003632125,0.8863607,0.0002425261,0.00008427984,0.002453798,0.06519241,0.001272678,0.01207424,0.002533145,0.001185522,0.02791773],"study_design_scores_gemma":[0.00003910209,0.0007446911,0.9603447,0.0001308458,0.0001097977,0.001844785,0.02393991,0.002311215,0.003892659,0.001731784,0.00483733,0.00007316772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987022,0.0000819255,0.00008680846,0.00002672707,0.000002035278,0.000004952954,0.00004549303,0.00000745098,0.001042483],"genre_scores_gemma":[0.9983376,0.0002306442,0.0004653223,0.00001688214,0.000002053065,0.0000121582,0.0002086154,0.000002995299,0.0007237355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01960078,"threshold_uncertainty_score":0.03897339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818240997828173,"score_gpt":0.279008199847634,"score_spread":0.2608257898693522,"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."}}