{"id":"W2119766153","doi":"10.1002/acp.1658","title":"Video‐game training and naïve reasoning about object motion","year":2010,"lang":"en","type":"article","venue":"Applied Cognitive Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Motion (physics); Object (grammar); Psychology; Perception; Training (meteorology); Cognitive psychology; Artificial intelligence; Computer science","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":[0.001026174,0.0003545388,0.0002378447,0.0005155653,0.0002393375,0.0008670841,0.0004545412,0.0005000067,0.002236275],"category_scores_gemma":[0.01134793,0.0002148285,0.0001834222,0.0001566207,0.001197812,0.0005897915,0.0005299238,0.0008252708,0.0001527752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006039148,"about_ca_system_score_gemma":0.000352182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628189,"about_ca_topic_score_gemma":0.003068735,"domain_scores_codex":[0.999246,0.0002484921,0.00005698604,0.0001350172,0.0002373631,0.00007622449],"domain_scores_gemma":[0.9930211,0.004047136,0.001788533,0.0003875296,0.0003347746,0.0004208807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002423308,0.009195243,0.6951395,0.0006137301,0.0001721607,0.003587532,0.03136638,0.01037228,0.07351839,0.008981936,0.002424939,0.1622047],"study_design_scores_gemma":[0.0001585084,0.005583649,0.9203898,0.0002214181,0.0001361486,0.002597469,0.007305817,0.02623546,0.01802432,0.01322904,0.006016477,0.0001018473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986629,0.00003940827,0.0003914956,0.00002749816,0.000002312531,0.000008050967,0.000008213407,0.00001019303,0.0008499909],"genre_scores_gemma":[0.9987186,0.00005130016,0.0007167645,0.0000146749,0.00000109094,0.00001194421,0.00002592835,0.000002726008,0.0004570796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003628189,"threshold_uncertainty_score":0.007481098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139731198097719,"score_gpt":0.3196477114300745,"score_spread":0.2982503994490973,"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."}}