{"id":"W6962098520","doi":"10.15468/dl.qrxp8y","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); Species name; Reference data","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":[0.001109049,0.002055033,0.001664183,0.005272244,0.000954176,0.002632374,0.003106622,0.002190846,0.1382793],"category_scores_gemma":[0.006579665,0.0009054629,0.001239142,0.0103408,0.0004542265,0.002385275,0.002546036,0.002061936,0.2001576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654916,"about_ca_system_score_gemma":0.002446521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006959,"about_ca_topic_score_gemma":0.03329637,"domain_scores_codex":[0.9988198,0.0001630588,0.0001623652,0.0004035721,0.0002623445,0.000188906],"domain_scores_gemma":[0.9972737,0.0007517105,0.0002755244,0.0007424772,0.0006403191,0.0003161275],"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":[0.00003214664,0.0000132304,0.000424995,0.0005686875,0.00001750078,0.00001610953,0.00002191587,0.0001397156,0.0001174201,0.0003775947,0.9968967,0.001374011],"study_design_scores_gemma":[0.00008621429,0.000009636734,0.002168755,0.0002138565,0.0000170168,0.00004336508,0.00006820138,0.0001713131,0.0002030378,0.0008028151,0.9961969,0.00001904087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004551736,0.00003014738,0.00003951756,0.00003420791,0.00001118559,0.000005214837,0.9989513,0.0003225223,0.0005602558],"genre_scores_gemma":[0.0001493943,0.00003144039,0.0001560083,0.00003788162,0.000003141577,0.00003580609,0.9991155,0.0001026612,0.0003680967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8617207,"threshold_uncertainty_score":0.4625905,"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."}}