{"id":"W6905904411","doi":"10.15468/dl.nrxz78","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; Data file","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":[0.001164715,0.002016431,0.001759619,0.00533494,0.001105918,0.002927784,0.003113953,0.00209802,0.1861424],"category_scores_gemma":[0.006887332,0.001039344,0.001234812,0.01084584,0.0004794028,0.002520091,0.002840572,0.002151306,0.2466222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163741,"about_ca_system_score_gemma":0.002515008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229093,"about_ca_topic_score_gemma":0.03629346,"domain_scores_codex":[0.9988157,0.0001588583,0.0001550186,0.0004124303,0.0002662139,0.0001918711],"domain_scores_gemma":[0.9971929,0.0008181313,0.0002546725,0.0007326562,0.0006882914,0.0003134243],"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":[0.00002648213,0.000009880786,0.0003166754,0.0005322361,0.00001434254,0.00001373228,0.000024253,0.0001034862,0.0001059338,0.0003838504,0.9972012,0.001267885],"study_design_scores_gemma":[0.00006410221,0.000006558797,0.00152216,0.0001896916,0.00001379588,0.00003297966,0.00006996764,0.0001190043,0.0001719411,0.0007659383,0.9970266,0.00001719774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003290044,0.0000240824,0.00004777983,0.00003285244,0.00001136917,0.000005051961,0.998822,0.0003831905,0.0006407416],"genre_scores_gemma":[0.0001401876,0.00003272706,0.0002018989,0.00004408147,0.000003208823,0.00004349625,0.9988662,0.0001903128,0.0004778097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8138576,"threshold_uncertainty_score":0.6227083,"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."}}