{"id":"W6906180965","doi":"10.15468/dl.zsej7p","title":"Occurrence Download","year":2020,"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); Data collection","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":[0.001001792,0.002016252,0.001563407,0.005512449,0.0008445699,0.0024017,0.002773362,0.001916091,0.1529575],"category_scores_gemma":[0.005570055,0.0008710175,0.001130666,0.0106646,0.0004301356,0.002127777,0.002437146,0.001777766,0.2080535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690887,"about_ca_system_score_gemma":0.002446298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293264,"about_ca_topic_score_gemma":0.03575125,"domain_scores_codex":[0.9989207,0.0001410516,0.0001510264,0.0003514983,0.000251379,0.0001843736],"domain_scores_gemma":[0.9975238,0.0006100942,0.0002535797,0.0006617078,0.0006426959,0.0003080675],"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":[0.00003544702,0.00001134827,0.0003830095,0.0005654969,0.00001677288,0.00001474683,0.00001966768,0.0001427457,0.0001331491,0.0003617969,0.9967519,0.001563909],"study_design_scores_gemma":[0.00007467753,0.000008895335,0.002177626,0.0001830635,0.00001543433,0.00003676554,0.00005875638,0.0001507561,0.000214749,0.0006685706,0.9963925,0.00001806629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003549078,0.00002276588,0.00002863289,0.00002671252,0.00000858659,0.000004240742,0.9991089,0.0002625714,0.0005021429],"genre_scores_gemma":[0.0001415155,0.00002863245,0.000136024,0.0000351513,0.00000282003,0.00002987235,0.9991421,0.00009297886,0.0003909575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8470426,"threshold_uncertainty_score":0.5116937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}