{"id":"W2148886761","doi":"10.1111/1365-2656.12218","title":"Let's go beyond taxonomy in diet description: testing a trait‐based approach to prey–predator relationships","year":2014,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; La Rochelle Université; Agence Nationale de la Recherche; European Commission","keywords":"Predation; Trait; Predator; Taxonomy (biology); Biology; Ecology; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001192145,0.00009194031,0.0002079353,0.0001148341,0.0001002399,0.00003806407,0.0002694645,0.00009368437,0.001090656],"category_scores_gemma":[0.0008822112,0.00008302229,0.00004783936,0.0003400016,0.00009987071,0.0002935199,0.000130107,0.0004632726,0.00005126556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867401,"about_ca_system_score_gemma":0.00005111371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005468626,"about_ca_topic_score_gemma":0.0003482553,"domain_scores_codex":[0.9987025,0.00023655,0.0003951114,0.0001719198,0.0002091328,0.0002848038],"domain_scores_gemma":[0.9992718,0.0002608868,0.0001562924,0.0001092085,0.00003129072,0.0001704995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004518229,0.0002457744,0.9876693,0.00001079702,0.000006690205,0.00001430959,0.0001303591,0.001505492,0.002142092,0.0001619753,0.003359949,0.004301452],"study_design_scores_gemma":[0.0005812141,0.002644772,0.9168975,0.000004290241,0.000007412289,0.00005176105,0.0001104463,0.01000844,0.00002058808,0.000190581,0.069376,0.0001070047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7985034,0.000001927878,0.003779975,0.0006866846,0.00005546288,0.000220284,0.000001623194,0.000006503466,0.1967442],"genre_scores_gemma":[0.9577028,5.322168e-7,0.04157705,0.0003192229,0.0001056195,0.00002647973,0.000001407385,0.000008605123,0.0002583117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1964858,"threshold_uncertainty_score":0.9998225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08340039887780334,"score_gpt":0.2531834874781095,"score_spread":0.1697830886003061,"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."}}