{"id":"W2942737938","doi":"10.1139/cjz-2018-0289","title":"A molecular approach to identifying the relationship between resource use and availability in Eurasian otters (<i>Lutra</i><i> lutra</i>)","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Lutra; Otter; Biology; Fishery; Predation; Foraging; Carnivore; Ecology; Fauna; Mustelidae; Predatory fish; Zoology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005962966,0.0001152536,0.0001909022,0.000120187,0.0001567184,0.00004262397,0.0003371385,0.0000777236,0.00007038046],"category_scores_gemma":[0.0002291014,0.00009871128,0.00004966018,0.0002183014,0.0004303257,0.0002163018,0.0001022943,0.0003448562,0.0001178409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634108,"about_ca_system_score_gemma":0.00001686776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004155851,"about_ca_topic_score_gemma":0.007754162,"domain_scores_codex":[0.998805,0.0002211269,0.0002707335,0.000227012,0.0001577782,0.0003183208],"domain_scores_gemma":[0.9990797,0.0002752777,0.000108705,0.0002173689,0.000004891701,0.0003140271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000625578,0.000006898748,0.9969749,0.000005079086,0.00001127216,0.00002591583,0.001511478,0.0004663097,0.0002394263,0.00002678008,0.0006234953,0.000102219],"study_design_scores_gemma":[0.0002190806,0.00005350634,0.9971374,0.00001213423,0.00001956158,0.00004789894,0.0008810142,0.000004106834,0.00004054968,0.0001587127,0.001324978,0.000101062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967452,0.0001112675,0.00007414517,0.001601244,0.00006314593,0.0002281648,0.00001223633,0.00000229176,0.001162363],"genre_scores_gemma":[0.9975836,0.000002975848,0.001340659,0.0009497098,0.00001282335,0.00000159461,0.000001564765,0.000007702253,0.00009942736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003598311,"threshold_uncertainty_score":0.6282431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363903412200828,"score_gpt":0.2144741210670924,"score_spread":0.1808350869450841,"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."}}