{"id":"W6906117856","doi":"10.15468/dl.wqqeqe","title":"Occurrence Download","year":2023,"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); Process (computing); Scheme (mathematics)","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":[0.0009505284,0.001950831,0.001542522,0.005352141,0.0009162788,0.002504622,0.002600503,0.001878635,0.1493345],"category_scores_gemma":[0.005686244,0.0008792866,0.001172679,0.01074367,0.00042783,0.002106586,0.002572859,0.001809765,0.2089122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608022,"about_ca_system_score_gemma":0.002420975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238928,"about_ca_topic_score_gemma":0.03857271,"domain_scores_codex":[0.998924,0.0001431146,0.0001447072,0.0003604821,0.000244941,0.0001827864],"domain_scores_gemma":[0.9975905,0.0006263398,0.0002427695,0.0006333917,0.0006151494,0.0002918208],"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":[0.00003218949,0.00001056506,0.0003759518,0.0005757756,0.00001663587,0.00001433984,0.0000228277,0.0001230979,0.0001196814,0.0003900358,0.9968376,0.001481292],"study_design_scores_gemma":[0.00007169719,0.000007766334,0.001954488,0.0001894999,0.00001492151,0.00003382223,0.00006136933,0.0001257911,0.000186007,0.0007283966,0.9966092,0.00001696974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003790977,0.00002672388,0.00003616955,0.00002902585,0.000009319278,0.000004671151,0.9989649,0.0003176318,0.0005736115],"genre_scores_gemma":[0.0001517751,0.00003380037,0.0001622048,0.00004082581,0.000003052128,0.00003537184,0.9990367,0.0001253562,0.0004110105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506655,"threshold_uncertainty_score":0.4995736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}