{"id":"W20787259","doi":"","title":"Representation of multistanza life histories in Ecospace models for spatial organization of ecosystem trophic interaction patterns","year":2010,"lang":"en","type":"article","venue":"","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Trophic level; Biomass (ecology); Ecology; Population; Ecosystem; Spatial ecology; Abundance (ecology); Geography; Habitat; Spatial heterogeneity; Environmental science; Fishing; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001463377,0.00006290969,0.0001809418,0.00006748144,0.00002258074,0.000004135404,0.0001050234,0.00006765458,0.001155639],"category_scores_gemma":[0.0002471324,0.00006190013,0.00003438161,0.0002128665,0.00003079555,0.0002676777,0.00004836678,0.00005883327,0.000007713419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001325578,"about_ca_system_score_gemma":0.00001069009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004141445,"about_ca_topic_score_gemma":0.06508952,"domain_scores_codex":[0.9992257,0.00004333145,0.0003496272,0.0001770089,0.0001168315,0.00008752302],"domain_scores_gemma":[0.9994106,0.00008762462,0.0002494358,0.0001844946,0.00004493422,0.00002294681],"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":[0.00003803575,0.0001333213,0.8596746,0.00003325129,0.0000146983,4.089629e-7,0.001192767,0.06001958,0.0769698,0.0006976857,0.000141084,0.001084731],"study_design_scores_gemma":[0.001044667,0.0001382878,0.3041309,0.00001186932,0.00004853703,0.000002860831,0.001134794,0.5623435,0.130242,0.0005152409,0.0001911959,0.0001961992],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8904291,5.537206e-7,0.1085696,0.00009791684,0.0002484907,0.000231683,0.000008847637,0.000008735118,0.0004050759],"genre_scores_gemma":[0.9973396,0.000003235224,0.00243537,0.00001476012,0.00002128625,0.0000169893,0.00002206433,0.000009819786,0.0001368606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5555437,"threshold_uncertainty_score":0.9997575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162890315217156,"score_gpt":0.2471483964813595,"score_spread":0.235519493329188,"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."}}