{"id":"W2977819810","doi":"10.1093/plankt/fbz042","title":"Remembering John Steele and his models for understanding the structure and function of marine ecosystems","year":2019,"lang":"en","type":"article","venue":"Journal of Plankton Research","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Enthusiasm; Plankton; Marine ecosystem; Zooplankton; Ecology; Ecosystem; Function (biology); Fish <Actinopterygii>; Tribute; Environmental ethics; Biology; Geography; Psychology; Philosophy; Fishery; Archaeology; Evolutionary biology","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":[0.001718741,0.00006684493,0.0001936236,0.0001624124,0.0001254968,0.00008201125,0.0001210307,0.00005090283,0.0003587115],"category_scores_gemma":[0.00003693108,0.00003994013,0.00003273328,0.000127238,0.00003616259,0.0002415235,0.00003682039,0.0002507682,0.00000108228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001223133,"about_ca_system_score_gemma":0.00005899372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009474137,"about_ca_topic_score_gemma":0.004720155,"domain_scores_codex":[0.9988911,0.0001093041,0.0002792467,0.0001029577,0.0004258735,0.0001915842],"domain_scores_gemma":[0.999058,0.0004702034,0.0001632149,0.00009433847,0.0001381244,0.00007612605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003352656,0.00003108053,0.8748721,0.002699387,0.0003943984,0.00002585955,0.001528109,0.01884706,0.004440951,0.009294551,0.00456501,0.07994886],"study_design_scores_gemma":[0.004016763,0.005763634,0.1029321,0.0006266164,0.00009878055,0.0008219666,0.01491577,0.7581644,0.0007786233,0.08332354,0.02811404,0.0004438119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928862,0.0005069663,0.0006589997,0.0001539016,0.0002518648,0.0002776638,0.00005375437,0.000002222159,0.005208466],"genre_scores_gemma":[0.999289,0.0001322178,0.00006812815,0.000008261579,0.0001259343,2.247474e-7,0.000007896155,0.000003032263,0.0003652804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.77194,"threshold_uncertainty_score":0.3927639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06144449237199762,"score_gpt":0.2690098253868564,"score_spread":0.2075653330148587,"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."}}