{"id":"W6967171034","doi":"10.5061/dryad.3df2q0k","title":"Data from: Agriculturally dominated landscapes reduce bee phylogenetic diversity and pollination services","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Phylogenetic diversity; Biodiversity; Ecosystem services; Pollinator; Phylogenetic tree; Ecosystem; Pollination; Diversity (politics); Agriculture","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":[0.001374147,0.001288639,0.0009729726,0.00250591,0.000827598,0.002244165,0.002083177,0.001465079,0.03834479],"category_scores_gemma":[0.00669092,0.0004881483,0.0008299656,0.004562708,0.0003756623,0.0009991651,0.002097328,0.001473465,0.02901411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301872,"about_ca_system_score_gemma":0.001736537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0343493,"about_ca_topic_score_gemma":0.06381176,"domain_scores_codex":[0.9991435,0.0001609729,0.0001225826,0.0002607989,0.0001846185,0.000127569],"domain_scores_gemma":[0.9976565,0.0007383625,0.0004078604,0.0004365836,0.000519765,0.0002410761],"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":[0.0001341735,0.0000318817,0.007085705,0.00167872,0.000102639,0.00005487104,0.00012281,0.000463669,0.0003965933,0.001071175,0.9849709,0.003886906],"study_design_scores_gemma":[0.0004315858,0.00001965956,0.03167691,0.0005329347,0.00007979485,0.0001058739,0.0002280296,0.0006774313,0.0006055646,0.001786914,0.9638122,0.00004308995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004752118,0.00008103283,0.00006254059,0.00008047358,0.00001363638,0.00000684936,0.9985898,0.0001420303,0.0005484486],"genre_scores_gemma":[0.001434415,0.00006589705,0.0003423133,0.00004991953,0.000005236351,0.00006056501,0.997412,0.00005025418,0.0005794322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03834479,"threshold_uncertainty_score":0.1282761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05350135006844702,"score_gpt":0.2350336158477847,"score_spread":0.1815322657793377,"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."}}