{"id":"W1969102921","doi":"10.1007/s10021-014-9803-3","title":"Representing Variable Habitat Quality in a Spatial Food Web Model","year":2014,"lang":"en","type":"article","venue":"Ecosystems","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Food web; Ecosystem services; Ecosystem; Ecosystem model; Context (archaeology); Environmental resource management; Climate change; Ecology; Computer science; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001039201,0.0005519539,0.0007085784,0.000796292,0.0004816869,0.001550671,0.001807413,0.001771353,0.002913042],"category_scores_gemma":[0.003686623,0.0007275874,0.0007928918,0.001483485,0.001002766,0.002385209,0.00122975,0.0008451492,0.0002757096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808524,"about_ca_system_score_gemma":0.0009729045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04454033,"about_ca_topic_score_gemma":0.03276984,"domain_scores_codex":[0.9996778,0.0001389976,0.00001693135,0.00007252577,0.0000301341,0.00006359964],"domain_scores_gemma":[0.9983653,0.00101903,0.0002223936,0.0001171458,0.000145824,0.0001302896],"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":[0.0000177144,0.00001574231,0.001146344,0.000006547325,0.00001700904,0.00002825677,0.0000105357,0.9932262,0.0001260918,0.004584004,0.00007156286,0.0007500493],"study_design_scores_gemma":[0.000006649595,0.000005270055,0.0001719752,0.000001564286,0.00000664147,0.000006076837,0.000005158363,0.9971651,0.00002034047,0.002571753,0.00003690169,0.000002633526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6796312,0.0003563478,0.3105104,0.001305327,0.00006281395,0.00004365205,0.00133427,0.0004040104,0.006352069],"genre_scores_gemma":[0.9809293,0.0001481724,0.01560328,0.00009093089,0.00001732652,0.00004476294,0.0002208095,0.00003693212,0.00290857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04454033,"threshold_uncertainty_score":0.08856213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450595486459135,"score_gpt":0.2591290146724191,"score_spread":0.2346230598078277,"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."}}