{"id":"W1980697684","doi":"10.1007/s10071-014-0817-1","title":"Problem-solving and learning in Carib grackles: individuals show a consistent speed–accuracy trade-off","year":2014,"lang":"en","type":"article","venue":"Animal Cognition","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Fondation Fyssen; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Cognition; Obstacle; Task (project management); Variation (astronomy); Psychology; Cognitive psychology; Population; Computer science; Artificial intelligence; Geography; Economics; Sociology; Demography; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004713181,0.0001230988,0.0001483804,0.00002212388,0.000243967,0.00008802097,0.00005372219,0.00009464598,0.00007276593],"category_scores_gemma":[0.0001785592,0.0000568742,0.00004617575,0.0001834556,0.00006700877,0.0002285078,0.00003927136,0.0002467029,0.00001452583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275558,"about_ca_system_score_gemma":0.000004257719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001608739,"about_ca_topic_score_gemma":0.0002267954,"domain_scores_codex":[0.9989179,0.0001620689,0.0002017181,0.0003473072,0.000154935,0.0002161116],"domain_scores_gemma":[0.9996167,0.0001694412,0.00009156502,0.00002376522,0.0000388125,0.00005973301],"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":[0.00005648237,0.0001160288,0.1575931,0.00001930672,0.000006775172,0.000004112945,0.0004542254,0.000002271586,0.6077052,0.0002417674,0.00007190265,0.2337288],"study_design_scores_gemma":[0.0002226682,0.0007827349,0.9897822,0.00007167505,0.00003603557,0.00003689486,0.001316212,0.00008179733,0.002837372,0.0003325212,0.004299578,0.0002003469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970705,0.0001814505,0.000001480286,0.0009138697,0.00003026174,0.0002343413,0.000007547689,0.00007428275,0.00148626],"genre_scores_gemma":[0.9993881,0.00009028932,0.00007353938,0.00011495,0.0001775921,0.000009619786,0.00008712392,0.000001505791,0.0000573017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8321891,"threshold_uncertainty_score":0.2319263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963863300760031,"score_gpt":0.2417515296075613,"score_spread":0.212112896599961,"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."}}