{"id":"W6943242625","doi":"10.15468/dl.kb65yh","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); 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":[0.001026081,0.001852898,0.001645156,0.005119385,0.0009090213,0.002438377,0.00266498,0.001984373,0.1576899],"category_scores_gemma":[0.006242865,0.0008938974,0.001179221,0.01077041,0.0004293769,0.0021164,0.002372082,0.001883627,0.2072301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526942,"about_ca_system_score_gemma":0.002290423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095157,"about_ca_topic_score_gemma":0.03328165,"domain_scores_codex":[0.9989292,0.0001490795,0.0001494804,0.0003617358,0.0002350155,0.0001754943],"domain_scores_gemma":[0.9973912,0.000768848,0.0002515251,0.0006479241,0.000651366,0.0002892373],"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":[0.00003262976,0.00001147873,0.0004193134,0.0006396113,0.0000174626,0.00001537125,0.00002326947,0.0001420911,0.0001240367,0.0003832686,0.9966965,0.001494955],"study_design_scores_gemma":[0.0000832619,0.000008944134,0.002113735,0.0002246469,0.00001652196,0.00003610913,0.00006937539,0.0001469563,0.0001859532,0.0007619389,0.9963342,0.00001825421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003765199,0.00002543037,0.00003687366,0.00002893709,0.000009584045,0.000004714066,0.9990846,0.0002731109,0.0004991084],"genre_scores_gemma":[0.0001564187,0.00003357053,0.0001692527,0.00004037305,0.000003330326,0.00004178199,0.9990484,0.000115086,0.000391801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8423101,"threshold_uncertainty_score":0.5275251,"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."}}