{"id":"W6943234541","doi":"10.15468/dl.kdewte","title":"Occurrence Download","year":2022,"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); The Internet; Data access","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":[0.001038535,0.002088488,0.001720762,0.005143233,0.001015676,0.002706722,0.002900083,0.002111724,0.1512369],"category_scores_gemma":[0.005813667,0.0009550966,0.001144118,0.01000666,0.0004486388,0.002311873,0.002518887,0.002017546,0.211389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153811,"about_ca_system_score_gemma":0.002303199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938824,"about_ca_topic_score_gemma":0.03246859,"domain_scores_codex":[0.998992,0.0001438181,0.0001238114,0.0003602932,0.0002157335,0.0001641705],"domain_scores_gemma":[0.9976535,0.0007009852,0.000221448,0.0006121935,0.0005250112,0.0002868755],"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":[0.00003307626,0.00001204077,0.0003948971,0.0006452773,0.00001780097,0.00001734098,0.00002484405,0.0001348922,0.0001406837,0.0004149227,0.9967986,0.001365716],"study_design_scores_gemma":[0.0000841584,0.000008506437,0.001932485,0.0002039044,0.00001630684,0.00004131752,0.00006824129,0.0001495371,0.0002060113,0.000838156,0.9964321,0.00001937708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004113932,0.00002990365,0.00004372231,0.00003156046,0.00001006639,0.000004865235,0.9988725,0.0003751002,0.0005911469],"genre_scores_gemma":[0.0001593953,0.00003404309,0.0001820421,0.00004292351,0.000003203689,0.00003971661,0.9989901,0.0001449362,0.0004035738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8487631,"threshold_uncertainty_score":0.5059378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}