{"id":"W6887382072","doi":"10.15468/dl.z9pmn5","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); Data set; The Internet","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":[0.0009878926,0.001959176,0.001622144,0.005068876,0.0009877468,0.002615284,0.002820067,0.002023647,0.1625813],"category_scores_gemma":[0.005924174,0.000936828,0.00113086,0.01007997,0.0004505287,0.002351383,0.002563338,0.002019718,0.2234003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495728,"about_ca_system_score_gemma":0.00226155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910377,"about_ca_topic_score_gemma":0.03361367,"domain_scores_codex":[0.9989614,0.0001425498,0.0001333001,0.0003652494,0.0002288864,0.0001685899],"domain_scores_gemma":[0.9974718,0.0007204206,0.0002432497,0.0006706361,0.000596698,0.0002972302],"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":[0.00002839757,0.00001160702,0.0003856117,0.0005378503,0.00001490043,0.00001500369,0.00002466647,0.000130441,0.000117221,0.0003907294,0.9969957,0.001347828],"study_design_scores_gemma":[0.00007146609,0.000007566945,0.001814222,0.0001803626,0.00001351526,0.00003599632,0.00007305815,0.0001382888,0.0001797225,0.0008151739,0.9966527,0.00001797647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004036286,0.00002417091,0.00004447598,0.00003187589,0.00001115079,0.000004801097,0.9988953,0.0003418452,0.0006059033],"genre_scores_gemma":[0.0001606288,0.00003169288,0.0002046934,0.00004273239,0.00000347212,0.00004166387,0.9988985,0.0001508701,0.0004657005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374187,"threshold_uncertainty_score":0.5438887,"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."}}