{"id":"W6886974908","doi":"10.15468/dl.k8hi5g","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); Data set; Confidentiality","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":[0.0009972516,0.00206148,0.001615785,0.005141031,0.0009914908,0.002634164,0.003045901,0.002065074,0.1415223],"category_scores_gemma":[0.006025515,0.0009025292,0.001203351,0.01031089,0.0004556366,0.002609465,0.002663356,0.002120928,0.2092353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701271,"about_ca_system_score_gemma":0.002388628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264193,"about_ca_topic_score_gemma":0.03767168,"domain_scores_codex":[0.9988672,0.0001526997,0.0001490486,0.0003882932,0.0002588416,0.0001839349],"domain_scores_gemma":[0.9974803,0.0006546568,0.0002428283,0.0007059591,0.0006136193,0.0003026691],"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":[0.00002635026,0.00001146813,0.0003736691,0.0004404077,0.00001333448,0.00001439484,0.00002201674,0.0001228139,0.00009472782,0.0003868498,0.9972018,0.001292273],"study_design_scores_gemma":[0.00006911265,0.000007600843,0.001781778,0.0001745041,0.00001271528,0.00003982508,0.00007210723,0.0001675942,0.0001703388,0.0008030242,0.996685,0.00001653517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004818028,0.00002909954,0.00004858503,0.0000384812,0.00001339663,0.00000530178,0.9987217,0.0004069525,0.0006883132],"genre_scores_gemma":[0.0001476308,0.00003115626,0.0001738369,0.00003769128,0.000003246427,0.00003350849,0.9990137,0.0001235839,0.0004356279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8584777,"threshold_uncertainty_score":0.4734392,"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."}}