{"id":"W7154587263","doi":"10.48448/n86g-d929","title":"Preschool Children's Learning and Generalization of Continuous Causal Functions","year":2025,"lang":"","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Generalization; Function (biology); Inductive reasoning; Causal inference; Continuous function (set theory); Inductive bias; Linear map","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":[0.001856554,0.0004827984,0.0003641364,0.0007728313,0.0002204432,0.001792169,0.0004967878,0.0007185277,0.003318499],"category_scores_gemma":[0.006073606,0.0004628126,0.0003475529,0.0002777242,0.001254523,0.002499011,0.0009310077,0.001183695,0.0007031192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659741,"about_ca_system_score_gemma":0.0005571332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007249536,"about_ca_topic_score_gemma":0.007996459,"domain_scores_codex":[0.9995208,0.00008216478,0.00003952888,0.0001619579,0.0001317031,0.0000638434],"domain_scores_gemma":[0.9974769,0.001276113,0.0004361555,0.0003661414,0.000288831,0.0001558578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007510106,0.0005395436,0.3312387,0.001297442,0.0002196193,0.00556102,0.06198761,0.007166645,0.1547633,0.04402044,0.009823634,0.382631],"study_design_scores_gemma":[0.0001264575,0.001018503,0.8027051,0.0008601388,0.0002743339,0.003168778,0.01644402,0.008775081,0.0657405,0.05571184,0.04490308,0.0002721886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848472,0.0008654526,0.004040552,0.0002743532,0.00002458338,0.00001619516,0.0003249957,0.0001780569,0.009428618],"genre_scores_gemma":[0.993136,0.0007425128,0.003606779,0.00009309978,0.000004905371,0.00002801247,0.0002600001,0.00003006159,0.002098625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007249536,"threshold_uncertainty_score":0.01441467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0075297507790573,"score_gpt":0.2653958943212469,"score_spread":0.2578661435421896,"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."}}