{"id":"W6948573498","doi":"10.5061/dryad.s1rn8pkff","title":"Selection for evasive mimicry imposed by an arthropod predator","year":2023,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Sustainability, Environment, and Optimization Algorithms","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mimicry; Predation; Aposematism; Arthropod; Predator; Selection (genetic algorithm)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003030024,0.000340577,0.0002770066,0.00006732401,0.0002848403,0.0000733714,0.0004013864,0.0003636193,0.001770347],"category_scores_gemma":[0.0001502626,0.0003542101,0.0001156268,0.0002644238,0.0002288109,0.0002590193,0.0001776911,0.0002269219,0.001807859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006487762,"about_ca_system_score_gemma":0.00003867493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000820782,"about_ca_topic_score_gemma":0.0007037267,"domain_scores_codex":[0.9978369,0.0001037879,0.0003364618,0.0008706615,0.0003862781,0.000465948],"domain_scores_gemma":[0.9989099,0.00008916968,0.0002159925,0.0005764324,0.00001603729,0.000192476],"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":[0.0000276153,0.0002238114,0.0002438673,0.000041643,0.00002439688,0.00000161159,0.00004226973,0.001706184,0.000110958,4.965515e-7,0.9967172,0.0008599446],"study_design_scores_gemma":[0.0005650214,0.000298213,0.0005060302,0.000007527215,0.00007482873,0.000002503631,0.0001707029,0.003742798,0.0002432021,0.0001503924,0.9937963,0.0004424302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001206894,0.00002490521,0.001387477,0.0001493994,0.0005668257,0.001430015,0.9950759,0.0001260392,0.00003253611],"genre_scores_gemma":[0.0000246897,0.0003110854,0.001339761,0.0003246317,0.0002061009,0.0003405069,0.9955263,0.00006088713,0.00186603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002920851,"threshold_uncertainty_score":0.999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008325548457104415,"score_gpt":0.260708511129678,"score_spread":0.2523829626725736,"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."}}