{"id":"W1962614245","doi":"10.3758/s13423-015-0957-6","title":"Mice can count and optimize count-based decisions","year":2015,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Numerosity adaptation effect; Psychology; Lever; Reinforcement; Property (philosophy); Task (project management); Statistics; Cognitive psychology; Social psychology; Mathematics; Cognition; Neuroscience","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":["insufficient_payload"],"category_scores_codex":[0.001086366,0.0002767959,0.0006351496,0.00004442096,0.00007721728,0.0000557537,0.0002385231,0.00006505425,0.001405228],"category_scores_gemma":[0.001738073,0.0002224648,0.0001119901,0.0001130204,0.00009498979,0.00002734364,0.0000859572,0.0001592896,0.00115055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191392,"about_ca_system_score_gemma":0.0001126987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002474617,"about_ca_topic_score_gemma":0.0000153008,"domain_scores_codex":[0.9983121,0.0000908803,0.000618594,0.0003971008,0.0002823999,0.0002989935],"domain_scores_gemma":[0.9976658,0.001274297,0.0001931205,0.0003612691,0.0001649873,0.0003405052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005394384,0.0004055974,0.00004488494,0.001419441,0.0000724296,0.00002097473,0.0001339314,7.078637e-7,0.000008556313,0.006898562,0.962115,0.02882593],"study_design_scores_gemma":[0.001884031,0.00009288025,0.00007193011,0.00870387,0.0002002187,0.00008382276,0.00009841252,0.00004534946,0.00005076356,0.06099992,0.9271721,0.0005967316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.06607191,0.3866403,0.03309295,0.2084427,0.002700099,0.01281909,0.0005114567,0.001169507,0.2885519],"genre_scores_gemma":[0.05817097,0.1132918,0.734561,0.08338666,0.0006217997,0.001104946,0.0001573988,0.0003882347,0.008317144],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7014681,"threshold_uncertainty_score":0.9996272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07827181269944637,"score_gpt":0.3335732731778822,"score_spread":0.2553014604784358,"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."}}