{"id":"W6887154398","doi":"10.15468/dl.tflctu","title":"Occurrence Download","year":2018,"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); Data collection; Range (aeronautics); 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":[0.0009943348,0.002024626,0.001543349,0.005529716,0.0009384602,0.002592973,0.002858386,0.001937722,0.1647981],"category_scores_gemma":[0.006191881,0.0008638354,0.001129596,0.01046639,0.0004301161,0.002393782,0.002736526,0.001960539,0.2389272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609726,"about_ca_system_score_gemma":0.002413055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02234691,"about_ca_topic_score_gemma":0.03833907,"domain_scores_codex":[0.9989261,0.000147496,0.0001331597,0.0003607449,0.0002464046,0.0001861451],"domain_scores_gemma":[0.9974147,0.0006413976,0.0002496467,0.0007035831,0.0006642202,0.0003263701],"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":[0.0000251723,0.000009061759,0.0003223947,0.0004233083,0.0000133144,0.00001188178,0.00001917255,0.00009297665,0.00008196573,0.0003237328,0.9973952,0.001281795],"study_design_scores_gemma":[0.00006333968,0.000007163598,0.001697328,0.0001712229,0.00001284559,0.00003223808,0.00005951382,0.0001310079,0.0001616575,0.0007265924,0.996922,0.00001519904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003794674,0.00002725613,0.00003854082,0.00003545201,0.00001112518,0.000004939255,0.9987991,0.0004004686,0.0006450871],"genre_scores_gemma":[0.0001379174,0.00003071235,0.0001574945,0.00003881376,0.000003543349,0.00003291098,0.9990264,0.0001332288,0.000438984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8352019,"threshold_uncertainty_score":0.5513045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}