{"id":"W4417009638","doi":"10.1139/cjfas-2025-0166","title":"Comparing capelin abundance estimates from predator diet data and an acoustic survey","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Capelin; Predation; Population; Abundance (ecology); Zooplankton; Predator; Mallotus; Apex predator","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0009412922,0.0004094541,0.0002183301,0.0008032596,0.0002626845,0.0005780254,0.0004293525,0.0002695611,0.000865764],"category_scores_gemma":[0.004916339,0.0003590418,0.0004084833,0.0005650352,0.0002609882,0.0006281039,0.0004286465,0.0002204001,0.0001749557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003213072,"about_ca_system_score_gemma":0.0008747248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4423288,"about_ca_topic_score_gemma":0.547998,"domain_scores_codex":[0.9996516,0.00009790597,0.00002644486,0.0001285112,0.00005200843,0.00004359688],"domain_scores_gemma":[0.9988723,0.0005263839,0.0002741665,0.00009606114,0.0001850141,0.00004608102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001952689,0.00003551362,0.9357773,0.0000717568,0.0003235599,0.0001371659,0.0001896848,0.04056285,0.003744769,0.0001867387,0.0004623617,0.0183131],"study_design_scores_gemma":[0.00002061402,0.00005357957,0.8229702,0.00003323885,0.0001045238,0.0001212983,0.0002160229,0.1743699,0.001319134,0.0001240908,0.0006331464,0.00003419283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965287,0.00008706319,0.002475965,0.00003350489,0.000004633278,0.000009996282,0.0003409496,0.00002818746,0.0004911227],"genre_scores_gemma":[0.9952323,0.00006636709,0.003714735,0.00001697353,0.000002574716,0.000009743435,0.0006557129,0.000009641296,0.0002918356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4423288,"threshold_uncertainty_score":0.8795084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06080803493346255,"score_gpt":0.2926823484344218,"score_spread":0.2318743135009592,"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."}}