{"id":"W1964485579","doi":"10.1016/j.cognition.2012.11.005","title":"A constructivist connectionist model of transitions on false-belief tasks","year":2013,"lang":"en","type":"article","venue":"Cognition","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Steno Diabetes Center Copenhagen","keywords":"Connectionism; Psychology; Object (grammar); Attribution; Cognition; False belief; Cognitive psychology; Cognitive science; Theory of mind; Artificial intelligence; Social psychology; Computer science","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":[0.001734646,0.0004124632,0.0005104056,0.0009311105,0.0005108723,0.002330458,0.002418585,0.001242323,0.006316342],"category_scores_gemma":[0.01039173,0.0006682774,0.0008260746,0.0006702872,0.001918366,0.004731781,0.001097273,0.002174471,0.0005344906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541334,"about_ca_system_score_gemma":0.0009650766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005517531,"about_ca_topic_score_gemma":0.003634888,"domain_scores_codex":[0.9990049,0.0004697466,0.00003552101,0.0002018499,0.0001769295,0.0001110913],"domain_scores_gemma":[0.9955135,0.003100735,0.0003572899,0.0004119867,0.0003684965,0.0002479751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001916942,0.0002056251,0.006477969,0.00008578674,0.0001115428,0.0002501344,0.001701289,0.1314913,0.003846881,0.8252857,0.001086947,0.02926519],"study_design_scores_gemma":[0.00002404657,0.00004087507,0.002618307,0.00001259496,0.00001747591,0.00008825968,0.0001232552,0.38933,0.0005293374,0.6068002,0.0003969582,0.00001875095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3427286,0.0001557522,0.6228615,0.002747107,0.00004791707,0.0001057493,0.0004980403,0.0003780907,0.03047711],"genre_scores_gemma":[0.9729254,0.00006357196,0.02456881,0.00005893666,0.00001322868,0.00006080797,0.0001282319,0.00004815286,0.002132823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006316342,"threshold_uncertainty_score":0.02113026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272168649409134,"score_gpt":0.2674775229720451,"score_spread":0.2402606580311317,"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."}}