{"id":"W6906164216","doi":"10.15468/dl.v77cv8","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); Odonata; Citizen 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":[0.0008076648,0.002793852,0.002148746,0.006224167,0.001267896,0.004062801,0.003082936,0.002292479,0.2580076],"category_scores_gemma":[0.006307642,0.0009536675,0.001947602,0.01123874,0.000391058,0.004236004,0.003560951,0.00206329,0.3967689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713332,"about_ca_system_score_gemma":0.002261862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02403266,"about_ca_topic_score_gemma":0.04153603,"domain_scores_codex":[0.9986441,0.0001457515,0.0001910749,0.0005031844,0.000306322,0.0002096945],"domain_scores_gemma":[0.9975536,0.0005332794,0.0001784338,0.0006254687,0.0008272356,0.000282064],"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":[0.00004467931,0.0000116601,0.0003837004,0.0005502474,0.00001493943,0.00002322158,0.00002107838,0.0001262774,0.00009502189,0.0003686438,0.995371,0.002989459],"study_design_scores_gemma":[0.00006173632,0.00001464506,0.001432014,0.0001725854,0.00001475193,0.00005351916,0.00009186578,0.0003340571,0.0001652659,0.001132975,0.9965056,0.0000210099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007437642,0.00007442624,0.0001409299,0.00007247012,0.00003345918,0.00001190291,0.9959513,0.001793253,0.001847877],"genre_scores_gemma":[0.0002561981,0.00006508751,0.0004240339,0.00007399511,0.000009115247,0.00004381198,0.9976247,0.0003805376,0.001122419],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7419924,"threshold_uncertainty_score":0.8631214,"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."}}