{"id":"W6887197094","doi":"10.15468/dl.uaxdyj","title":"Occurrence Download","year":2018,"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); Set (abstract data type); 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":[0.0009262039,0.001995483,0.001588558,0.005021167,0.001006201,0.002686656,0.002958072,0.002064619,0.1484221],"category_scores_gemma":[0.006106863,0.000853558,0.001245617,0.009871379,0.0004490727,0.00237676,0.002733105,0.002009365,0.2183328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630092,"about_ca_system_score_gemma":0.002421943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02494921,"about_ca_topic_score_gemma":0.0394363,"domain_scores_codex":[0.9990013,0.0001302784,0.0001212604,0.0003461588,0.0002278084,0.0001731515],"domain_scores_gemma":[0.9977342,0.000620893,0.0002111929,0.0005934416,0.0005704438,0.0002698019],"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":[0.00002569209,0.00001066366,0.000405321,0.0004766534,0.00001399284,0.0000150386,0.00002346584,0.0001188076,0.00009523463,0.000352601,0.9971364,0.001326155],"study_design_scores_gemma":[0.00006992934,0.000008332607,0.001993552,0.0002091131,0.00001512886,0.00003987213,0.00008213642,0.0001841562,0.0001833333,0.0007959272,0.996401,0.00001745831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004912307,0.00003369868,0.00004743889,0.00004342693,0.00001360884,0.000005479153,0.998662,0.000470124,0.0006751947],"genre_scores_gemma":[0.0001687946,0.00003495066,0.0001778387,0.00004517955,0.000003623231,0.00003758243,0.9989254,0.0001493447,0.0004572381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8515779,"threshold_uncertainty_score":0.4965212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}