{"id":"W6906140922","doi":"10.15468/dl.mp76w6","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); Limanda; Confidentiality","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":[0.00100776,0.001984054,0.001603259,0.004706071,0.001004371,0.002518325,0.0029453,0.002033238,0.1557158],"category_scores_gemma":[0.005668459,0.0009671532,0.00123613,0.009374524,0.0004677374,0.002277565,0.002645355,0.002058831,0.2165879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621476,"about_ca_system_score_gemma":0.002329293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298593,"about_ca_topic_score_gemma":0.03696956,"domain_scores_codex":[0.9990259,0.0001286496,0.0001219927,0.0003372772,0.0002199632,0.0001662416],"domain_scores_gemma":[0.9977715,0.0006148052,0.0002062399,0.0006168713,0.0005314821,0.0002591657],"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":[0.00002882902,0.00001116507,0.0003800789,0.0005119916,0.00001549832,0.0000152674,0.00002680859,0.0001355368,0.0001339333,0.0004111601,0.9968707,0.001459029],"study_design_scores_gemma":[0.00007019435,0.000007372539,0.001803257,0.0001756151,0.00001405151,0.00003707961,0.00007447904,0.0001526141,0.0001992885,0.0007534243,0.996695,0.00001761608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004383992,0.00002517467,0.0000516831,0.00003479827,0.00001237443,0.000005341457,0.9987256,0.000457075,0.0006440856],"genre_scores_gemma":[0.000157858,0.00002960304,0.0002109907,0.00004135725,0.000003054567,0.00003951432,0.9989229,0.0001783464,0.0004163337],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8442842,"threshold_uncertainty_score":0.5209213,"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."}}