{"id":"W6905932048","doi":"10.15468/dl.v4rlal","title":"Occurrence Download","year":2019,"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":[0.0008907473,0.001965702,0.001535729,0.004973215,0.001058349,0.002467875,0.00283376,0.0019528,0.1644834],"category_scores_gemma":[0.005758548,0.0008816473,0.001165892,0.01001945,0.0004391228,0.00235754,0.002594808,0.001902355,0.2294372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702199,"about_ca_system_score_gemma":0.002461126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03135657,"about_ca_topic_score_gemma":0.05037691,"domain_scores_codex":[0.9989849,0.0001288865,0.0001205976,0.0003366689,0.0002527271,0.0001762688],"domain_scores_gemma":[0.9976298,0.0006189578,0.0001928138,0.0006303935,0.0006723729,0.0002556839],"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":[0.0000251267,0.000009909814,0.0003347675,0.0003951834,0.00001187743,0.00001414993,0.00002158728,0.0001151159,0.00009906785,0.0003356444,0.9972336,0.001403943],"study_design_scores_gemma":[0.00006231784,0.000007470781,0.00185542,0.0001820574,0.0000128334,0.00003849843,0.00008899724,0.0001799645,0.0002049043,0.0008168751,0.996532,0.00001866925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004547074,0.00002698197,0.00005419616,0.0000386129,0.00001253776,0.00000551529,0.9985346,0.0005319626,0.000750254],"genre_scores_gemma":[0.0001765803,0.00003230461,0.0002199529,0.00004085715,0.000003382969,0.00003778492,0.9988021,0.0001834147,0.0005037307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355166,"threshold_uncertainty_score":0.5502518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}