{"id":"W6905826873","doi":"10.15468/dl.s0cw78","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":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.00102849,0.002046291,0.00166027,0.005196896,0.000893318,0.002650092,0.002951864,0.002029818,0.1385442],"category_scores_gemma":[0.006296337,0.0008890185,0.001198078,0.0105532,0.000425839,0.002258496,0.002587961,0.002010536,0.2025728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560064,"about_ca_system_score_gemma":0.002397519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218828,"about_ca_topic_score_gemma":0.03584868,"domain_scores_codex":[0.9988951,0.0001479305,0.0001455689,0.0003796881,0.00024931,0.0001824475],"domain_scores_gemma":[0.9974269,0.0006885458,0.0002667855,0.0006862281,0.0006109268,0.0003205126],"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":[0.00002929359,0.0000114613,0.0004299906,0.0004996085,0.00001630371,0.00001513611,0.00002282719,0.0001302839,0.00009931568,0.0003627803,0.9970964,0.001286549],"study_design_scores_gemma":[0.00008787622,0.00000905428,0.002351847,0.0002052082,0.00001654446,0.00004305387,0.0000746558,0.0001797002,0.0001837565,0.0008427273,0.9959868,0.00001883065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004534227,0.00002708972,0.00004049597,0.00003283448,0.00001077056,0.000004641693,0.9989424,0.0003559699,0.0005405162],"genre_scores_gemma":[0.0001521692,0.00002897663,0.0001583576,0.00003527346,0.000003146318,0.00003497383,0.9990846,0.0001186107,0.0003838199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8614558,"threshold_uncertainty_score":0.4634765,"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."}}