{"id":"W6906032976","doi":"10.15468/dl.yp6ggn","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; Alien; Range (aeronautics); State (computer science)","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":[0.0009112192,0.002043514,0.001508197,0.004911105,0.0009690532,0.002429716,0.002607734,0.001959149,0.1658256],"category_scores_gemma":[0.00570495,0.0008809957,0.001185011,0.00960394,0.0004462215,0.002058562,0.002479875,0.001791635,0.2199796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445066,"about_ca_system_score_gemma":0.002283016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058849,"about_ca_topic_score_gemma":0.0329485,"domain_scores_codex":[0.999024,0.0001342725,0.0001219754,0.0003487774,0.0002042846,0.0001666953],"domain_scores_gemma":[0.9977012,0.0006713017,0.0002222287,0.0005777988,0.0005685583,0.0002590506],"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":[0.00003213891,0.00001202987,0.000419616,0.0005540122,0.00001402093,0.00001493626,0.00002244284,0.0001335583,0.0001252925,0.0003486018,0.9968195,0.001503888],"study_design_scores_gemma":[0.00008146843,0.0000109399,0.001945547,0.0001937725,0.00001530627,0.00003726114,0.00007109382,0.0001614394,0.0001995854,0.0007872668,0.9964774,0.00001892593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004909248,0.0000282909,0.00003938425,0.00003435523,0.00001265863,0.000005333155,0.9988132,0.0003732521,0.0006444281],"genre_scores_gemma":[0.000173497,0.00003528774,0.0001966351,0.00004669433,0.000003774096,0.00004546349,0.9988686,0.0001472367,0.0004827385],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8341744,"threshold_uncertainty_score":0.554742,"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."}}