{"id":"W2604534050","doi":"10.1016/j.dsr2.2017.03.008","title":"International collaboration and comparative research on ocean top predators under CLIOTOP","year":2017,"lang":"en","type":"article","venue":"Deep Sea Research Part II Topical Studies in Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"North Pacific Marine Science Organization","keywords":"Trophic level; Climate change; Predation; Geography; Apex predator; Adaptive management; Biosphere; Ecology; Environmental resource management; Fishery; Biology; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002761891,0.0001824992,0.0002938497,0.0004055167,0.00250767,0.0003783084,0.0009825813,0.0001307631,0.00105456],"category_scores_gemma":[0.001083861,0.0001528207,0.00005763378,0.0009435012,0.004334548,0.0004876252,0.003525731,0.001074829,0.00006150036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162164,"about_ca_system_score_gemma":0.00002723773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001855016,"about_ca_topic_score_gemma":0.001221236,"domain_scores_codex":[0.9954088,0.0006936712,0.0003255291,0.0007220285,0.001985905,0.0008641002],"domain_scores_gemma":[0.9979817,0.0007447021,0.00006046273,0.0006888579,0.0002806052,0.0002436517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003009937,0.0003216238,0.9416227,0.00002261277,0.0000922061,0.00004510155,0.002209162,0.00002847175,0.00001008578,0.00920171,0.03891455,0.007230809],"study_design_scores_gemma":[0.001170982,0.001194485,0.3559817,0.00005266366,0.000003850058,0.000002843504,0.01044736,0.001066931,0.0002120635,0.00709462,0.6224599,0.0003125196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7407092,0.00007106261,0.000003462261,0.005627167,0.0002282053,0.0005921331,0.00001116546,0.00001743884,0.2527401],"genre_scores_gemma":[0.9950757,0.002034695,0.0001195572,0.0001029397,0.0002356105,0.00009090173,0.00001290481,0.00001084161,0.002316864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.585641,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2595405656553022,"score_gpt":0.4775038020990342,"score_spread":0.217963236443732,"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."}}