{"id":"W4247631448","doi":"10.3410/f.1099094.577105","title":"Faculty Opinions recommendation of Incorporating plant functional diversity effects in ecosystem service assessments.","year":2008,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diversity (politics); Ecosystem services; Plant diversity; Service (business); Functional diversity; Ecosystem; Environmental resource management; Environmental science; Computer science; Ecology; Business; Biology; Sociology; Marketing","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":[0.00221489,0.001938817,0.001447905,0.004783269,0.0006339587,0.002984823,0.003154252,0.002363657,0.1296577],"category_scores_gemma":[0.01492214,0.0008314858,0.0017115,0.005832294,0.0002846968,0.001872778,0.002163918,0.002117084,0.1416985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837014,"about_ca_system_score_gemma":0.003451671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03963028,"about_ca_topic_score_gemma":0.09782974,"domain_scores_codex":[0.9984258,0.0002514817,0.0001927866,0.0003929121,0.0004942092,0.00024274],"domain_scores_gemma":[0.9936889,0.001386646,0.0006048444,0.001406754,0.002172687,0.0007400376],"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":[0.00002111681,0.00001110071,0.0006613836,0.0001517672,0.00001568543,0.000004246958,0.000004826798,0.0000664987,0.00002283487,0.00008672445,0.9976444,0.001309418],"study_design_scores_gemma":[0.000294048,0.00001314419,0.00823258,0.0002324237,0.00004549552,0.00002702607,0.00004180179,0.0007754409,0.0002462243,0.0007445883,0.9893206,0.00002671087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008686453,0.00002141745,0.00005656573,0.00009687842,0.00003388819,0.00001112839,0.9985632,0.0002955303,0.0008345236],"genre_scores_gemma":[0.0003722827,0.0000291355,0.0003115541,0.0000674929,0.00001244192,0.00005474041,0.9976947,0.0000777341,0.001379938],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1296577,"threshold_uncertainty_score":0.4337482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320806349213564,"score_gpt":0.3036288493262841,"score_spread":0.2715482144049277,"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."}}