{"id":"W4401929444","doi":"10.1016/j.pocean.2024.103333","title":"Modelling the complete life cycle of an arctic copepod reveals complex trade-offs between concurrent life cycle strategies","year":2024,"lang":"en","type":"article","venue":"Progress In Oceanography","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Centre National de la Recherche Scientifique; Université Laval; Fisheries and Oceans Canada; National Aeronautics and Space Administration","keywords":"Copepod; Oceanography; Arctic; The arctic; Environmental science; Geography; Biology; Geology; Ecology; Crustacean","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001828022,0.0004979353,0.0004467564,0.0002874156,0.000506569,0.0007741783,0.0007668483,0.0009703425,0.002554311],"category_scores_gemma":[0.000618235,0.0004324227,0.00105379,0.0003448897,0.0003390563,0.000538318,0.0005672048,0.0005019586,0.0003820351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008466358,"about_ca_system_score_gemma":0.00148102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05975807,"about_ca_topic_score_gemma":0.04264649,"domain_scores_codex":[0.9999124,0.00001848227,0.000004926779,0.00002343822,0.00001521958,0.00002555771],"domain_scores_gemma":[0.9998369,0.00005211897,0.00003694728,0.0000131412,0.00002857922,0.00003222485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001552886,0.00001292772,0.005904535,0.00002609726,0.00003054511,0.00005839555,0.00002052827,0.9905097,0.0007032495,0.001052897,0.000214287,0.001451342],"study_design_scores_gemma":[0.00001399094,0.00003003854,0.004114784,0.00001591022,0.00002888134,0.00003811298,0.0000371908,0.9933215,0.000133615,0.001139141,0.001114213,0.00001260032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883733,0.0006774816,0.08215804,0.0007058039,0.0001602524,0.00008560908,0.003288179,0.0002608114,0.02893087],"genre_scores_gemma":[0.9865703,0.0003530928,0.007286395,0.0001070825,0.00003606021,0.0001179311,0.0009682929,0.00004185472,0.004519032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05975807,"threshold_uncertainty_score":0.1188205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403895837774712,"score_gpt":0.2994357673257309,"score_spread":0.2553968089479837,"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."}}