{"id":"W2785414336","doi":"10.1111/cogs.13112","title":"An Analogical Model of Pretense","year":2022,"lang":"en","type":"article","venue":"Cognitive Science","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Projection (relational algebra); Computer science; Cognitive science; Artificial intelligence; Psychology; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005668716,0.00004855697,0.00007412156,0.00008509601,0.0002885449,0.000009670091,0.0002482748,0.000009592121,0.001273369],"category_scores_gemma":[0.00008852806,0.00004363778,0.00002205267,0.0003945566,0.0004288962,0.00006165056,0.0001210981,0.0001289754,0.0000277682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002003258,"about_ca_system_score_gemma":0.000114276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004591845,"about_ca_topic_score_gemma":3.216727e-7,"domain_scores_codex":[0.9990709,0.00006454789,0.00009313225,0.0003123247,0.0002809854,0.0001780473],"domain_scores_gemma":[0.9996526,0.00003960932,0.00004630458,0.00009943487,0.00009541965,0.00006664258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001110636,0.002983896,0.1369169,0.00001566389,0.00007022,0.0001404086,0.06788161,0.004631114,0.3827965,0.2344788,0.001026537,0.1679478],"study_design_scores_gemma":[0.0006167604,0.001123319,0.9701243,0.0000120879,0.00001397552,0.00002825192,0.006480642,0.01652277,0.002049685,0.002478342,0.0002977658,0.0002520847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575732,0.00002671685,0.001199318,0.00004489569,0.0001014389,0.00007408766,0.00002558822,0.00002205157,0.04093264],"genre_scores_gemma":[0.9988636,4.616519e-7,0.0003418683,0.0003683262,0.0000115047,0.00001580687,0.000003620871,0.000003178022,0.000391587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8332074,"threshold_uncertainty_score":0.9996396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05496090309035875,"score_gpt":0.3536462026323581,"score_spread":0.2986852995419994,"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."}}