{"id":"W6906075380","doi":"10.15468/dl.kxyt38","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); Alien; The Internet","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":[0.001045784,0.001907919,0.001607755,0.00519485,0.001032178,0.002555261,0.002758923,0.002147862,0.1472983],"category_scores_gemma":[0.00638561,0.0008887804,0.001300472,0.01006344,0.00046697,0.002288569,0.002594269,0.001989041,0.2058556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609323,"about_ca_system_score_gemma":0.002447465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291607,"about_ca_topic_score_gemma":0.03682626,"domain_scores_codex":[0.998879,0.0001570525,0.0001443868,0.000384253,0.0002497789,0.000185383],"domain_scores_gemma":[0.9972331,0.0008220733,0.000249497,0.0007233955,0.0006717159,0.0003002421],"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":[0.0000312241,0.00001270743,0.0004277695,0.0006161117,0.00001566861,0.00001673683,0.00002586784,0.0001292224,0.0001254377,0.0003658292,0.9967243,0.001509123],"study_design_scores_gemma":[0.00007632349,0.000009899715,0.002185487,0.0002296623,0.00001585226,0.00004172442,0.00008846192,0.0001532886,0.0001961804,0.0007292638,0.9962553,0.00001850692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004869374,0.00003131047,0.00004222588,0.00004050809,0.00001314383,0.000005962278,0.998825,0.0003812094,0.0006118161],"genre_scores_gemma":[0.0001723092,0.00003754334,0.0001969195,0.00004855755,0.000003733951,0.00004457201,0.9989091,0.0001356944,0.0004515366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527017,"threshold_uncertainty_score":0.4927619,"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."}}