{"id":"W6944336421","doi":"10.17895/ices.pub.20448942","title":"Working Group on Marine Mammal Ecology (WGMME)","year":2022,"lang":"en","type":"report","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine mammal; Mammal; Population; Range (aeronautics); Seal (emblem); Fur seal; Bycatch","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.004418846,0.001749765,0.002288568,0.0006925034,0.001570159,0.0002293427,0.001294381,0.001577201,0.004611698],"category_scores_gemma":[0.00006760834,0.001987315,0.00107298,0.0002664135,0.0002711432,0.0002241041,0.002760713,0.003831775,0.004300159],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02747352,"about_ca_system_score_gemma":0.0004098013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795629,"about_ca_topic_score_gemma":0.00002592191,"domain_scores_codex":[0.986797,0.00115252,0.002447566,0.002708073,0.004837135,0.00205773],"domain_scores_gemma":[0.9956737,0.0002421248,0.001848051,0.001751685,0.00002586416,0.0004585834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003701547,0.001394123,0.3684574,0.0007330675,0.002103769,0.001285438,0.0009296829,0.6050298,0.001028424,0.0003155044,0.01487659,0.003476005],"study_design_scores_gemma":[0.00692739,0.002004638,0.003253023,0.002295029,0.002800536,0.00350996,0.1190882,0.1986647,0.000003071655,0.0006271223,0.6492321,0.01159421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940729,0.00714087,0.0008876562,0.0001051928,0.03122075,0.006963078,0.002090401,0.001731946,0.1557872],"genre_scores_gemma":[0.9682423,0.00141062,0.0001536149,0.00008703159,0.003674716,0.001495243,0.006371488,0.001503108,0.01706181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6343555,"threshold_uncertainty_score":0.9997296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116294130286506,"score_gpt":0.2589995670141741,"score_spread":0.2078366257113091,"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."}}