{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004558602,0.0002889115,0.0004193159,0.0001026796,0.0002199245,0.0001661378,0.0005280187,0.00006681524,0.0001650772],"category_scores_gemma":[0.0000148776,0.0001964922,0.0002182879,0.0007927857,0.00102518,0.000347643,0.0002672155,0.0003306832,0.00001761013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002673813,"about_ca_system_score_gemma":0.0000208663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001012138,"about_ca_topic_score_gemma":0.0000463831,"domain_scores_codex":[0.9978127,0.000180617,0.0005685067,0.0004876876,0.0005060786,0.0004444123],"domain_scores_gemma":[0.9992092,0.0001595269,0.0001331117,0.0003218857,0.00001392621,0.0001623097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003110173,0.0003211887,0.9468826,0.0005633228,0.000315614,0.00001633643,0.00526433,0.02738041,0.00003405308,0.004024137,0.001310149,0.01385676],"study_design_scores_gemma":[0.0009272935,0.0004962364,0.7237072,0.0005433435,0.0002588044,0.00000771115,0.003992012,0.2369588,0.00005592804,0.01621838,0.01588147,0.0009527829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899986,0.005063007,0.0003767392,0.0012224,0.0001480249,0.0006110675,0.0000845439,0.000127514,0.00236809],"genre_scores_gemma":[0.9985912,0.0001995258,0.0008390491,0.000121195,0.0001360977,0.00004040547,0.00004128866,0.0000255806,0.000005600993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2231754,"threshold_uncertainty_score":0.8012719,"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."}}