{"id":"W2895344656","doi":"10.1675/063.041.0309","title":"Analyzing Pellets and Feces of African Royal Terns (<i>Thalasseus maximus albididorsalis</i>) Results in Different Estimates of Diet Composition","year":2018,"lang":"en","type":"article","venue":"Waterbirds","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Pellets; Feces; Biology; Predation; Composition (language); Animal science; Incubation; Zoology; Fish <Actinopterygii>; Ecology; Fishery","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":[0.0001985228,0.000276308,0.0001965163,0.0007769946,0.0002016665,0.0003117539,0.000118005,0.0001712009,0.0008784712],"category_scores_gemma":[0.0004739984,0.0001619051,0.0001897451,0.0004113315,0.0002977997,0.0002368147,0.0002827149,0.0001138309,0.000248721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638692,"about_ca_system_score_gemma":0.00007444873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002169783,"about_ca_topic_score_gemma":0.008027999,"domain_scores_codex":[0.9998603,0.000019953,0.00002162304,0.00004875546,0.00002681296,0.00002259941],"domain_scores_gemma":[0.9995481,0.00007104348,0.0002676715,0.00002055647,0.0000376607,0.00005490679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002604598,0.00003413236,0.9254093,0.00006039276,0.00008631876,0.0001495062,0.0003166377,0.00003984347,0.06474097,0.000008983879,0.0000340132,0.008859532],"study_design_scores_gemma":[8.284516e-7,0.00005489414,0.9991997,0.000001963588,0.00000600118,0.0001038491,0.00006450228,0.00001997943,0.0004999887,0.000002101467,0.0000451279,9.935399e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997355,0.00007130886,0.00003521269,0.0000021829,6.969281e-7,0.000001573476,0.00006756024,0.000001515654,0.00008433216],"genre_scores_gemma":[0.9988263,0.000124687,0.0005234255,0.00001038981,0.000002475428,0.000006444857,0.0002764536,0.000002916392,0.0002268089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002169783,"threshold_uncertainty_score":0.004314303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009791706770088877,"score_gpt":0.2362684478818002,"score_spread":0.2264767411117114,"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."}}