{"id":"W6943512089","doi":"10.15468/dl.re9k3s","title":"Occurrence Download","year":2016,"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); Real world data","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":[0.0009465877,0.002198278,0.00168688,0.005236086,0.001035867,0.002636844,0.00320735,0.002071167,0.1193316],"category_scores_gemma":[0.005508877,0.0008907617,0.001279154,0.01043002,0.0004785575,0.002272559,0.002734921,0.002080128,0.1979822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926045,"about_ca_system_score_gemma":0.002824966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03349175,"about_ca_topic_score_gemma":0.05477776,"domain_scores_codex":[0.9989296,0.0001318232,0.0001292206,0.000355257,0.000257662,0.0001964559],"domain_scores_gemma":[0.9977747,0.0005192033,0.0002096838,0.000635437,0.0005758568,0.0002851314],"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":[0.0000304889,0.00001248275,0.0004241966,0.0004646633,0.00001583846,0.00001619316,0.00002567229,0.0001514402,0.0001117875,0.0003760543,0.9969041,0.001467183],"study_design_scores_gemma":[0.00007598136,0.00000900023,0.002171882,0.0001915211,0.00001529071,0.00004615355,0.00008249399,0.0002050697,0.0002086725,0.0007374954,0.9962374,0.00001888784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005390134,0.00003366369,0.000044404,0.00003648754,0.0000131277,0.000005254494,0.9987711,0.0004561306,0.0005859464],"genre_scores_gemma":[0.0001379746,0.00002986001,0.0001556144,0.00003006297,0.000002718877,0.00002938202,0.9991257,0.000116947,0.0003717069],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8806685,"threshold_uncertainty_score":0.3992038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}