{"id":"W6887337461","doi":"10.15468/dl.xm3dmg","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; Missing data","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":[0.0009908619,0.001909775,0.001562671,0.005643153,0.000838495,0.002394389,0.002684517,0.001884181,0.1625571],"category_scores_gemma":[0.005623805,0.0009023078,0.001130824,0.0114841,0.0004528126,0.002138291,0.002465107,0.001763285,0.2014642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609324,"about_ca_system_score_gemma":0.002391309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02382515,"about_ca_topic_score_gemma":0.03594121,"domain_scores_codex":[0.9990047,0.0001239152,0.0001378936,0.0003310765,0.0002264053,0.0001760813],"domain_scores_gemma":[0.9976034,0.000631263,0.0002551408,0.0006142615,0.0005911948,0.0003048348],"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":[0.00003521734,0.00001148439,0.0004303204,0.0006448184,0.0000176614,0.00001609421,0.00002332822,0.000150038,0.0001433281,0.0003908862,0.9965718,0.001565035],"study_design_scores_gemma":[0.00008054251,0.000009238247,0.002416185,0.0002105894,0.00001645752,0.00003926845,0.00006853857,0.0001481165,0.0002059184,0.0006794825,0.996107,0.00001861291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003489173,0.00002299346,0.00003002754,0.00002483875,0.00000920375,0.000004043335,0.9991336,0.0002595879,0.0004807705],"genre_scores_gemma":[0.0001510517,0.00003059041,0.0001443477,0.00003522423,0.000003167572,0.00003168831,0.9991319,0.0001008728,0.0003711523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374429,"threshold_uncertainty_score":0.5438077,"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."}}