{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370003,0.001530511,0.001026135,0.001816419,0.0006838904,0.001314408,0.002101026,0.001846108,0.01858345],"category_scores_gemma":[0.006089684,0.0003705226,0.001626056,0.002482706,0.0004423471,0.0006745366,0.001263112,0.001226208,0.01560154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009716182,"about_ca_system_score_gemma":0.000961097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0148991,"about_ca_topic_score_gemma":0.05219762,"domain_scores_codex":[0.9992999,0.0001804769,0.00007152346,0.0002245709,0.0001315012,0.00009203575],"domain_scores_gemma":[0.9986479,0.0006298152,0.0001371622,0.0003098002,0.000185858,0.00008959028],"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":[0.0004964452,0.0002103774,0.01876625,0.002456439,0.000381139,0.0001544578,0.00006438993,0.005056092,0.0005994254,0.0009982961,0.9587379,0.01207895],"study_design_scores_gemma":[0.002815696,0.0003394287,0.09311863,0.0009208168,0.000466234,0.0007402779,0.000394208,0.02801424,0.00275326,0.005484314,0.8647995,0.0001534273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007918994,0.0005630661,0.0003958478,0.0003137766,0.0000919516,0.00004282003,0.9882342,0.000783458,0.001655955],"genre_scores_gemma":[0.007341794,0.0001242102,0.001168362,0.000123961,0.00001196537,0.0001386008,0.9900762,0.0000619686,0.0009529326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01858345,"threshold_uncertainty_score":0.06216782,"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."}}