{"id":"W6906109573","doi":"10.15468/dl.xj2ef6","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":"Matching (statistics); Download; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0009143958,0.002083278,0.001547083,0.00485987,0.0009603424,0.002432453,0.00276868,0.001944766,0.1536781],"category_scores_gemma":[0.005594279,0.0009165861,0.001183834,0.009538911,0.0004463873,0.002257975,0.002521204,0.001926461,0.2106615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490284,"about_ca_system_score_gemma":0.002182043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019889,"about_ca_topic_score_gemma":0.03296895,"domain_scores_codex":[0.9989817,0.0001384526,0.0001267065,0.0003701843,0.0002128374,0.0001701946],"domain_scores_gemma":[0.9977214,0.0006341352,0.0002222917,0.000594237,0.0005608897,0.0002670664],"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":[0.00003320301,0.00001170003,0.0004086873,0.0005549756,0.00001543084,0.00001487712,0.00002246847,0.0001380798,0.0001244127,0.0003893787,0.9968086,0.001478243],"study_design_scores_gemma":[0.00007493776,0.0000094302,0.001858409,0.0001829019,0.00001455543,0.0000385641,0.00006618792,0.0001501753,0.0001910771,0.0008241928,0.9965709,0.00001865179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004537186,0.0000280827,0.00004202911,0.00003213308,0.00001248336,0.000004618326,0.9988338,0.0003578022,0.0006437184],"genre_scores_gemma":[0.0001552392,0.00003314568,0.0001893647,0.00004452465,0.000003426863,0.00003690966,0.9989485,0.0001424399,0.0004465143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463219,"threshold_uncertainty_score":0.5141045,"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."}}