{"id":"W6943521358","doi":"10.15468/dl.xp5my9","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); State (computer science); Range (aeronautics); Identification (biology)","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":[0.0009715548,0.002016137,0.001705179,0.005310991,0.001019658,0.002716591,0.002942813,0.002286058,0.1634953],"category_scores_gemma":[0.006390434,0.0009703398,0.001306344,0.01059689,0.0004191991,0.002470129,0.002494627,0.002073063,0.2180394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835083,"about_ca_system_score_gemma":0.002469545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363102,"about_ca_topic_score_gemma":0.03548045,"domain_scores_codex":[0.9988907,0.000156462,0.0001589863,0.0003744894,0.0002318,0.0001875823],"domain_scores_gemma":[0.9973794,0.0007595027,0.0002496074,0.0006637876,0.0006676533,0.0002800892],"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":[0.00003571232,0.00001215744,0.0004424416,0.0006675107,0.00001721891,0.00001729628,0.00002323218,0.0001505713,0.0001137718,0.0003974148,0.9965444,0.001578239],"study_design_scores_gemma":[0.00008006996,0.000008689261,0.001974846,0.0002178018,0.000015056,0.00003736875,0.00007357456,0.0001969196,0.0001716526,0.0006942641,0.9965126,0.00001718295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003687274,0.00002582098,0.00003644198,0.00003543106,0.0000106407,0.000005201841,0.9989805,0.0003335894,0.0005355214],"genre_scores_gemma":[0.0001487624,0.00003375174,0.0001736494,0.0000442217,0.000003264268,0.00004113073,0.99902,0.0001141805,0.0004210128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365048,"threshold_uncertainty_score":0.5469462,"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."}}