{"id":"W2070820560","doi":"10.1111/j.1600-0706.2012.20974.x","title":"Modeling forage mediated aggregation in a gregarious ruminant","year":2012,"lang":"en","type":"article","venue":"Oikos","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Foraging; Forage; Predation; Optimal foraging theory; Ecology; Abundance (ecology); Grazing; Biology; Predator; Resource (disambiguation); 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":[0.000207329,0.00005515229,0.00006590053,0.00002525486,0.00007397551,0.000003716311,0.00005140007,0.0000466975,0.000233604],"category_scores_gemma":[0.0000605283,0.00004964801,0.00001462738,0.0001074816,0.00003911534,0.0001886877,0.0000553497,0.00006697747,0.0004630544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008686898,"about_ca_system_score_gemma":0.000002613031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001743887,"about_ca_topic_score_gemma":0.002352754,"domain_scores_codex":[0.9995013,0.00002348755,0.0001079599,0.00009002783,0.00007696334,0.0002002456],"domain_scores_gemma":[0.9998436,0.00002990731,0.00002485276,0.00006526717,0.000002802625,0.00003359087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009604666,0.0001018059,0.9730963,0.00000510354,0.000005862366,0.000004539489,0.00270783,0.01809919,0.0003940448,0.000682294,0.0001009413,0.00479247],"study_design_scores_gemma":[0.0004009751,0.00002297201,0.2909312,0.00001139358,0.000007321746,0.0000051375,0.0002141724,0.7061962,0.00008925811,0.001438605,0.0005338619,0.0001488291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904329,0.0001258792,0.001721536,0.0001880633,0.0001080608,0.00009011343,9.53081e-7,0.00001854978,0.007313941],"genre_scores_gemma":[0.9990337,0.00003927671,0.0004364784,0.0001059543,0.00001404721,0.00002348465,0.00000598695,0.000004573355,0.0003365137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6880971,"threshold_uncertainty_score":0.5951782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101447843779807,"score_gpt":0.2322477465393641,"score_spread":0.221233268101566,"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."}}