{"id":"W6905900276","doi":"10.15468/dl.qwhcno","title":"Occurrence Download","year":2019,"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); Feature (linguistics); Confidentiality","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":[0.0009710389,0.001962534,0.001572084,0.004732444,0.001046792,0.002799342,0.002949455,0.001958503,0.1698119],"category_scores_gemma":[0.006159974,0.0009623964,0.001194895,0.009284122,0.0004273769,0.002535092,0.002659678,0.002127281,0.2429911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626266,"about_ca_system_score_gemma":0.002348703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024281,"about_ca_topic_score_gemma":0.03214086,"domain_scores_codex":[0.9989824,0.0001404546,0.000135517,0.0003691572,0.0002121501,0.000160417],"domain_scores_gemma":[0.9976212,0.0006904796,0.0002030033,0.0006326318,0.000598652,0.0002540169],"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":[0.0000275089,0.00001034317,0.0003318956,0.0005036683,0.0000130363,0.00001358558,0.00002331326,0.0001061294,0.0000938024,0.0003639671,0.9970391,0.001473824],"study_design_scores_gemma":[0.0000623676,0.000006718905,0.001475193,0.0001846107,0.00001289145,0.00003470145,0.00007101551,0.0001570019,0.0001802202,0.0008318298,0.9969673,0.00001612761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003868205,0.00002755971,0.00005334785,0.00003901721,0.00001279417,0.000006071237,0.9986311,0.000459382,0.0007320747],"genre_scores_gemma":[0.0001551815,0.00003613086,0.0002308507,0.00004936855,0.000003481061,0.00004959544,0.9987504,0.0001878964,0.0005369713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.830188,"threshold_uncertainty_score":0.5680776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}