{"id":"W2149109120","doi":"10.1111/cdev.12282","title":"What Will I Like Best When I'm All Grown Up? Preschoolers' Understanding of Future Preferences","year":2014,"lang":"en","type":"article","venue":"Child Development","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Psychology; Perspective (graphical); Developmental psychology; Preference; Child development; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002354618,0.0002933706,0.0003063824,0.0002416211,0.0003657633,0.001412903,0.0003324981,0.0007237431,0.00182533],"category_scores_gemma":[0.009427508,0.0002666215,0.0003188021,0.000131528,0.001139404,0.001754231,0.0005010415,0.00145824,0.0002640973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004733297,"about_ca_system_score_gemma":0.0003942893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005832397,"about_ca_topic_score_gemma":0.008272916,"domain_scores_codex":[0.9994837,0.000160132,0.000039238,0.0001163769,0.0001279322,0.000072645],"domain_scores_gemma":[0.9949145,0.00280109,0.001372431,0.000365841,0.0002112111,0.0003348385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001688125,0.00146255,0.6332809,0.0004480407,0.0002595693,0.001465453,0.2129394,0.001326242,0.0782892,0.005142851,0.002056707,0.06164106],"study_design_scores_gemma":[0.0001105757,0.002875384,0.8208718,0.0003831875,0.0003054139,0.001617418,0.1389684,0.002444406,0.01806361,0.005469522,0.008662975,0.00022735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980439,0.0001106582,0.0002273903,0.00006069581,0.000002859567,0.000007173268,0.00002016752,0.000004509753,0.001522601],"genre_scores_gemma":[0.9982988,0.0002339977,0.0007425131,0.00005148582,0.000002356137,0.00001603425,0.00006234588,0.000002347778,0.0005902076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005832397,"threshold_uncertainty_score":0.0124526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770854037384293,"score_gpt":0.2682384539426168,"score_spread":0.2305299135687738,"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."}}