{"id":"W3210022495","doi":"10.1111/mms.12886","title":"Long‐term decline in abundance of male sperm whales visiting Kaikōura, New Zealand","year":2021,"lang":"en","type":"article","venue":"Marine Mammal Science","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Otago","keywords":"Abundance (ecology); Sperm whale; Biology; Ecology; Sperm; Population; Population decline; Demography; Emigration; Geography; Habitat; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007087316,0.0001994461,0.0003141895,0.00005811078,0.00015027,0.00007875003,0.0007495621,0.00003923593,0.009027229],"category_scores_gemma":[0.0002845472,0.0001881754,0.00006728939,0.001561102,0.0006095897,0.0004556479,0.004607704,0.0001622222,0.000195045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002289347,"about_ca_system_score_gemma":0.00009731659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01735118,"about_ca_topic_score_gemma":0.05562954,"domain_scores_codex":[0.997464,0.00004043171,0.0004430443,0.0006767334,0.0007545604,0.0006212153],"domain_scores_gemma":[0.9991316,0.00007252923,0.0001525729,0.0004040559,0.00003417338,0.0002050929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001700444,0.0000692223,0.8884101,0.00002058022,0.000002471401,0.000129396,0.00009810574,0.00008145635,0.005763183,0.0001177371,0.0002326681,0.1050581],"study_design_scores_gemma":[0.0003878722,0.00006077083,0.9908174,0.00004583204,0.000006360748,0.00008070705,0.000029752,0.0002606065,0.004900726,0.0003308666,0.002867877,0.0002112353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427973,0.0001247926,0.00004538942,0.0008026374,0.00009316418,0.0001327058,0.000001961212,0.00001947817,0.05598255],"genre_scores_gemma":[0.9867992,0.0002014917,0.00344438,0.0003765703,0.00007459913,0.000004757337,0.000003535307,0.00001156331,0.009083889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048469,"threshold_uncertainty_score":0.9918786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478302152557671,"score_gpt":0.2553597329509246,"score_spread":0.2405767114253479,"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."}}