{"id":"W6962329710","doi":"10.15468/dl.wunjy4","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":"Download; Matching (statistics); Range (aeronautics); Alien","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":[0.0009945229,0.001991491,0.001574815,0.004872261,0.001068612,0.002682291,0.002860097,0.002234225,0.1674503],"category_scores_gemma":[0.006149794,0.000924997,0.001288309,0.009110589,0.0004568743,0.002439884,0.002644452,0.002082035,0.2351603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576497,"about_ca_system_score_gemma":0.002324889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218075,"about_ca_topic_score_gemma":0.03501645,"domain_scores_codex":[0.9989752,0.0001445394,0.00012347,0.0003633705,0.00022373,0.000169692],"domain_scores_gemma":[0.9974323,0.0007668607,0.0002109499,0.0006785035,0.0006347215,0.0002766752],"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":[0.00002624625,0.00001216116,0.0003714098,0.0005003974,0.00001326452,0.00001507775,0.00002293933,0.0001170453,0.0001108897,0.0003473746,0.9970973,0.001365942],"study_design_scores_gemma":[0.00007225345,0.000009298169,0.001906251,0.0002042243,0.00001428432,0.00003794393,0.00008179787,0.0001749649,0.000195129,0.0008098989,0.9964752,0.00001884549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004574066,0.00002827846,0.00004849318,0.0000437157,0.00001452432,0.000006266766,0.9987195,0.0004314747,0.0006621311],"genre_scores_gemma":[0.0001704469,0.00003445749,0.0002147105,0.00005391829,0.000004247032,0.00004977168,0.9987833,0.0001648481,0.000524308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8325497,"threshold_uncertainty_score":0.5601771,"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."}}