{"id":"W6962220027","doi":"10.15468/dl.ldc4r6","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Order (exchange)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008299692,0.00182704,0.00142055,0.005476194,0.0009437038,0.00245036,0.002558285,0.001611221,0.1460665],"category_scores_gemma":[0.006227345,0.00081858,0.001099744,0.01160734,0.0004178745,0.002307812,0.002761352,0.001706719,0.2089119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654904,"about_ca_system_score_gemma":0.002813469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03255047,"about_ca_topic_score_gemma":0.05672927,"domain_scores_codex":[0.9989592,0.0001279196,0.0001447744,0.0003465252,0.0002428321,0.0001787408],"domain_scores_gemma":[0.9974287,0.0006361825,0.0002618453,0.0006303449,0.0007477583,0.0002951906],"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":[0.00002764611,0.000009455374,0.0004808517,0.0004951849,0.00001326737,0.0000146314,0.0000271387,0.0001134449,0.00009853769,0.0004180915,0.9965885,0.001713393],"study_design_scores_gemma":[0.00004572532,0.000006722086,0.001871443,0.0001824718,0.00001195927,0.00003313489,0.00007288914,0.0001114847,0.0001427841,0.0006611115,0.996845,0.00001538337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004615728,0.00003013582,0.00004176765,0.00003269715,0.00001175798,0.000004439569,0.9987037,0.0003527691,0.0007764826],"genre_scores_gemma":[0.0001529818,0.00003951932,0.0001894367,0.00003650126,0.000003141455,0.00003161135,0.9988217,0.0001355215,0.0005895689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539335,"threshold_uncertainty_score":0.4886411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}