{"id":"W6962250411","doi":"10.15468/dl.r525f5","title":"Occurrence Download","year":2020,"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":[0.001138692,0.002030025,0.001548732,0.005384072,0.0008647256,0.002527863,0.002846374,0.001922689,0.1533463],"category_scores_gemma":[0.005904292,0.000920925,0.001165936,0.01073434,0.0004622624,0.002323488,0.002488919,0.001880094,0.2088283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658135,"about_ca_system_score_gemma":0.002430967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147507,"about_ca_topic_score_gemma":0.03173663,"domain_scores_codex":[0.9988951,0.0001496176,0.0001486834,0.0003775637,0.0002447303,0.0001843601],"domain_scores_gemma":[0.9974528,0.0007029436,0.0002503361,0.0006838574,0.0005950728,0.0003149747],"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":[0.00003287405,0.00001180997,0.0003791314,0.0005121586,0.00001537165,0.00001469165,0.00002154461,0.0001364964,0.0001246396,0.0004182567,0.9969068,0.001426196],"study_design_scores_gemma":[0.00007208673,0.00000890602,0.002036102,0.0001669209,0.0000142565,0.00003801875,0.00006453486,0.0001576489,0.0002050706,0.0007815261,0.9964368,0.0000182251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003673392,0.00002244373,0.00003786071,0.00002994095,0.00001061705,0.00000436528,0.9989774,0.0003216031,0.0005589933],"genre_scores_gemma":[0.0001389026,0.00002807717,0.0001529967,0.00003668332,0.000002854507,0.00003228277,0.9990753,0.000119212,0.0004135731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466537,"threshold_uncertainty_score":0.5129945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}