{"id":"W2044682089","doi":"10.1016/j.cognition.2007.12.002","title":"Determining who owns what: Do children infer ownership from first possession?","year":2008,"lang":"en","type":"article","venue":"Cognition","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":218,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Possession (linguistics); Psychology; Object (grammar); Heuristic; Character (mathematics); Social psychology; Cognitive psychology; Artificial intelligence; Linguistics; Computer science; Mathematics","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":[0.002531375,0.0004017433,0.000531533,0.0007047498,0.0003916176,0.003945296,0.0007480921,0.001450259,0.004179848],"category_scores_gemma":[0.02454399,0.0009157528,0.0005060208,0.0004915117,0.002760643,0.005570213,0.001761839,0.001906588,0.0007507524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005672576,"about_ca_system_score_gemma":0.0009576511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006910073,"about_ca_topic_score_gemma":0.0109096,"domain_scores_codex":[0.9986558,0.0002593183,0.00007884992,0.0002876834,0.0004711913,0.0002471817],"domain_scores_gemma":[0.9809933,0.008925444,0.006202205,0.001627537,0.001470239,0.000781244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004123182,0.0003403286,0.8731787,0.00033199,0.0001488861,0.001077102,0.02003348,0.001178542,0.02699402,0.01195537,0.001691349,0.06265793],"study_design_scores_gemma":[0.00003327483,0.0002504288,0.9477473,0.0002634447,0.0001672386,0.001367484,0.01244199,0.003012446,0.01194832,0.0196803,0.002975175,0.000112481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897663,0.0002355734,0.001707287,0.0003582173,0.00001910408,0.000006798091,0.0001211679,0.00002573588,0.007759826],"genre_scores_gemma":[0.9971362,0.0002161277,0.001525598,0.0000860045,0.000005176456,0.0000104913,0.0001579542,0.00002223028,0.0008401673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006910073,"threshold_uncertainty_score":0.01398295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285608853492022,"score_gpt":0.2789741838400716,"score_spread":0.2461180953051513,"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."}}