{"id":"W6943367247","doi":"10.15468/dl.l1etkg","title":"Occurrence Download","year":2019,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.001039662,0.00188596,0.001602287,0.00578049,0.0009477576,0.002684014,0.002829165,0.001749498,0.2129875],"category_scores_gemma":[0.005974488,0.0009270488,0.001121507,0.0108143,0.0004395875,0.002405767,0.003059857,0.00184194,0.2962874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167616,"about_ca_system_score_gemma":0.00256831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386085,"about_ca_topic_score_gemma":0.03986571,"domain_scores_codex":[0.9989799,0.0001209492,0.0001299483,0.0003268214,0.0002420233,0.0002004767],"domain_scores_gemma":[0.9974681,0.0005961889,0.0002481236,0.0006459682,0.0007345044,0.0003071413],"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":[0.00002476456,0.000007146102,0.0002712807,0.0004937841,0.00001170839,0.00001142634,0.00002003875,0.00007240016,0.0001002722,0.0003687863,0.9971871,0.001431296],"study_design_scores_gemma":[0.00004787566,0.000005191363,0.001368174,0.0001940396,0.00001085253,0.00002540238,0.00005146625,0.00006752684,0.0001524014,0.0006366044,0.9974266,0.00001373601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002254334,0.00002078363,0.00003369185,0.00002721147,0.000009644429,0.000004555263,0.9987929,0.0003217274,0.000766937],"genre_scores_gemma":[0.0001298,0.00003726661,0.0001754871,0.00005022825,0.000003590279,0.00003833468,0.9987978,0.0001891818,0.0005782447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7870125,"threshold_uncertainty_score":0.7125142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}