{"id":"W6905941379","doi":"10.15468/dl.mhmntt","title":"Occurrence Download","year":2021,"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","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":[0.0008654341,0.001981077,0.00161015,0.005425729,0.001094347,0.002648548,0.002889853,0.002180099,0.1517548],"category_scores_gemma":[0.005927916,0.0009463901,0.001284333,0.01064304,0.0004301132,0.002499955,0.002530461,0.002148836,0.2219716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761188,"about_ca_system_score_gemma":0.002512795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02441965,"about_ca_topic_score_gemma":0.04344159,"domain_scores_codex":[0.9988291,0.0001479807,0.0001586829,0.0003929044,0.0002775514,0.0001937588],"domain_scores_gemma":[0.9972965,0.0007131615,0.0002461904,0.000694425,0.0007534319,0.0002962694],"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":[0.000030318,0.00001215081,0.0004401622,0.0005161387,0.00001345684,0.00001787475,0.00002351613,0.000125376,0.0001126558,0.0003629047,0.996675,0.001670317],"study_design_scores_gemma":[0.00006441381,0.000007999027,0.00192138,0.0001899088,0.00001264361,0.00004449109,0.00008204248,0.0001735041,0.0001895167,0.000687237,0.9966091,0.00001768247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004883565,0.00002839347,0.00005173467,0.00003950413,0.0000134648,0.000005439939,0.9986377,0.0004333077,0.0007414853],"genre_scores_gemma":[0.0001637395,0.00003219505,0.0002191239,0.00004096736,0.000003596013,0.00003763623,0.9988674,0.0001327453,0.0005026806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8482451,"threshold_uncertainty_score":0.5076705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}