{"id":"W6905933147","doi":"10.15468/dl.wyqv4y","title":"Occurrence Download","year":2023,"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); Listing (finance); Range (aeronautics); Data set","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":[0.0009819845,0.001948848,0.001575321,0.005378562,0.001098876,0.002876888,0.002897241,0.001829796,0.2141501],"category_scores_gemma":[0.006348943,0.001020171,0.00116811,0.01061695,0.0004824591,0.002363905,0.00292927,0.001956811,0.2649167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892507,"about_ca_system_score_gemma":0.002742008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03331758,"about_ca_topic_score_gemma":0.05179146,"domain_scores_codex":[0.9990743,0.0001087642,0.0001112371,0.0003019075,0.0002289697,0.0001747465],"domain_scores_gemma":[0.9976692,0.0006260815,0.0001985999,0.0005764005,0.0006639488,0.0002657582],"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":[0.0000230612,0.000007937644,0.0003188146,0.000502602,0.00001231798,0.00001412099,0.00002706311,0.00008706137,0.0001003637,0.0004124658,0.9970695,0.001424712],"study_design_scores_gemma":[0.00005058515,0.000004772256,0.001412812,0.0001976556,0.0000117436,0.00003143795,0.00007318171,0.0001002502,0.0001699589,0.000702391,0.9972295,0.00001569927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002802574,0.00002119496,0.00004768949,0.00003065832,0.00001010928,0.000005050431,0.998592,0.0004361447,0.000829029],"genre_scores_gemma":[0.000173462,0.00003890478,0.0002541817,0.00004842069,0.000003493388,0.00005021753,0.9985523,0.0002774002,0.0006016268],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7858499,"threshold_uncertainty_score":0.7164035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}