{"id":"W6941643424","doi":"10.1371/journal.pone.0008907.t001","title":"Ecosystem attributes measured in simulations of increasing fishing and nearshore habitat pressure in the Northern British Columbia Ecopath with Ecosim marine food web model.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Food web; Ecosystem; Habitat; Biomass (ecology); Marine ecosystem; Marine habitats","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007146898,0.001457732,0.0008682093,0.001341465,0.0008129136,0.001164176,0.002891579,0.001459975,0.01990142],"category_scores_gemma":[0.004054419,0.0007482732,0.0009181088,0.002629471,0.0003777713,0.0005512002,0.000876958,0.001313039,0.008236161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003711114,"about_ca_system_score_gemma":0.004533785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7253299,"about_ca_topic_score_gemma":0.851752,"domain_scores_codex":[0.9997253,0.00003595788,0.00002062955,0.00006132226,0.00009913049,0.00005759583],"domain_scores_gemma":[0.9981714,0.0003790111,0.0001371927,0.0002823986,0.00074844,0.0002815102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001012314,0.00006377327,0.009991103,0.0003840035,0.0001548558,0.00005276714,0.00003950666,0.009472341,0.0001283993,0.0005083903,0.9759614,0.003142144],"study_design_scores_gemma":[0.002254242,0.00006739292,0.1286681,0.001090175,0.0003435918,0.0001364245,0.0004544537,0.05264112,0.001293203,0.003193805,0.8096274,0.000230109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003726004,0.00009147944,0.0001161146,0.0001461862,0.00002966517,0.00001312487,0.9937438,0.0004875427,0.001646001],"genre_scores_gemma":[0.00990655,0.00007058917,0.000624686,0.00007950205,0.000006045379,0.00008153779,0.9876374,0.0001231533,0.001470594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2746701,"threshold_uncertainty_score":0.5525753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034651873602694,"score_gpt":0.2058802503175507,"score_spread":0.1755337315815237,"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."}}