{"id":"W2919734443","doi":"","title":"","year":2018,"lang":"en","type":"preprint","venue":"City Research Online (City University London)","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biodiversity; Ecosystem services; Environmental resource management; Geography; Environmental planning; Ecosystem; Business; Environmental science; Ecology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001698084,0.001274118,0.001709249,0.002410606,0.00205254,0.009797939,0.001153833,0.005498099,0.7898046],"category_scores_gemma":[0.007181586,0.0002985792,0.0008998373,0.001863026,0.00087939,0.005852473,0.004435043,0.00285851,0.6927108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207086,"about_ca_system_score_gemma":0.001515704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007115659,"about_ca_topic_score_gemma":0.001246234,"domain_scores_codex":[0.998897,0.0001217138,0.00006280922,0.0002872662,0.000399604,0.0002316857],"domain_scores_gemma":[0.996195,0.0004636928,0.0001729151,0.0003325374,0.00108756,0.001748303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002573156,0.00001936213,0.0001314867,0.0001324472,0.000002741124,0.00005358643,0.00008184463,0.00001760425,0.0002113273,0.003423307,0.9535541,0.04234639],"study_design_scores_gemma":[0.00000448486,0.000006526093,0.000211947,0.00008058645,0.000001681861,0.00002721587,0.00007124051,0.00002648228,0.00004338305,0.001091057,0.9984325,0.000002893993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001091126,0.006425816,0.001518586,0.05242474,0.07328957,0.0001774453,0.003768651,0.00116751,0.8601366],"genre_scores_gemma":[0.002302517,0.001249606,0.000164455,0.003718315,0.0109114,0.00006654963,0.000760129,0.0002764099,0.9805505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2101954,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1078947641235595,"score_gpt":0.3148732506745658,"score_spread":0.2069784865510063,"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."}}