{"id":"W2117879460","doi":"10.1146/annurev.ento.53.103106.093343","title":"Evolutionary Biology of Insect Learning","year":2007,"lang":"en","type":"review","venue":"Annual Review of Entomology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":456,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Biology; Insect; Social learning; Variation (astronomy); Aggression; Ecology; Variety (cybernetics); Evolutionary biology; Cognitive psychology; Artificial intelligence; Developmental psychology; Psychology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005956262,0.0002601711,0.002145721,0.00003902382,0.00005428933,0.000001171674,0.0003607185,0.0002856796,0.0003451434],"category_scores_gemma":[0.0003850456,0.00008924934,0.0005940416,0.0004822848,0.0001991334,0.00002780972,0.0002024355,0.0002756852,0.0000453586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001801481,"about_ca_system_score_gemma":0.00002663495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001292438,"about_ca_topic_score_gemma":0.00004595299,"domain_scores_codex":[0.9980626,0.0003768267,0.0008599702,0.0002883827,0.0001210126,0.0002912084],"domain_scores_gemma":[0.9981232,0.0008739277,0.0007570439,0.00003398195,0.0001652446,0.00004666172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003628463,0.00004098782,0.000141816,0.02133323,0.00007921675,0.000005937754,0.000006887678,3.749935e-9,0.00002822554,0.0006439628,0.0008814644,0.9768347],"study_design_scores_gemma":[0.00001905314,0.0004874642,0.0003299489,0.0258523,0.000195409,0.00006243728,0.00001342936,2.412288e-8,0.000001798737,0.00006121791,0.9728272,0.0001497107],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001101526,0.9966428,4.520306e-7,0.00003472111,0.00007606011,0.0002866919,0.0002883296,0.0000172761,0.002543466],"genre_scores_gemma":[0.0001560941,0.9990392,0.00002106164,0.00007337484,0.0001542996,0.00001616652,0.0003484004,0.000001347083,0.0001900313],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9766849,"threshold_uncertainty_score":0.3779078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1208179329852067,"score_gpt":0.3480605239997165,"score_spread":0.2272425910145099,"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."}}