{"id":"W2152600854","doi":"10.1016/j.beproc.2014.08.015","title":"Individual differences in decision making by foraging hummingbirds","year":2014,"lang":"en","type":"article","venue":"Behavioural Processes","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Foraging; Preference; Context (archaeology); Choice set; Set (abstract data type); Optimal foraging theory; Consistency (knowledge bases); Psychology; Biology; Ecology; Economics; Computer science; Econometrics; Microeconomics; Artificial intelligence","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":[0.0003918421,0.0001231458,0.0002300199,0.0001182224,0.00008525208,0.00009337205,0.000199845,0.00006994876,0.000251643],"category_scores_gemma":[0.0001184976,0.0001360482,0.00003035444,0.0001223756,0.00003696109,0.0003774729,0.00006099133,0.00009688731,0.000159541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007254875,"about_ca_system_score_gemma":0.000006914804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001224628,"about_ca_topic_score_gemma":0.00006435641,"domain_scores_codex":[0.9989913,0.00000846248,0.000425964,0.0003136897,0.00004234495,0.0002182707],"domain_scores_gemma":[0.9995724,0.00007393541,0.0001995892,0.0001139484,0.000006086502,0.00003405154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003623074,0.0000453086,0.9907488,0.00001555194,0.000002805757,2.78019e-7,0.0002443701,0.0000144797,0.000004248508,0.0009982965,0.0002717193,0.007650512],"study_design_scores_gemma":[0.0003634372,0.00004527438,0.9849442,0.000055084,0.000004737912,0.0000015322,0.000138049,0.000583044,0.0000883785,0.01312724,0.000428376,0.0002206386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924619,0.001035874,0.004782464,0.00007729024,0.0001214386,0.00009884882,0.00003633845,0.00002591721,0.001359921],"genre_scores_gemma":[0.9988202,0.00006189475,0.0007900897,0.000120916,0.00002843307,0.00002795262,0.00002720569,0.00001638076,0.0001069383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01212895,"threshold_uncertainty_score":0.5547885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279400845679102,"score_gpt":0.2514050041915118,"score_spread":0.1234649196236016,"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."}}