{"id":"W6943492581","doi":"10.15468/dl.uprvzs","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); Alien; Range (aeronautics); Identification (biology)","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":[0.001000256,0.001896557,0.001615747,0.004806611,0.001008714,0.00255935,0.002707044,0.002100799,0.1514687],"category_scores_gemma":[0.006069002,0.0008963712,0.001274304,0.009249909,0.0004492486,0.002276624,0.002526559,0.001968583,0.2092775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529168,"about_ca_system_score_gemma":0.002254741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205014,"about_ca_topic_score_gemma":0.03174494,"domain_scores_codex":[0.9989997,0.0001417679,0.0001257801,0.0003537362,0.0002144958,0.0001646475],"domain_scores_gemma":[0.9975302,0.0007556897,0.0002213839,0.0006474803,0.0005706139,0.000274586],"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":[0.00003090759,0.00001208132,0.0004175003,0.0005868337,0.0000161407,0.00001637334,0.00002398948,0.000139577,0.0001321603,0.000357993,0.99675,0.001516471],"study_design_scores_gemma":[0.00008320128,0.00001075765,0.002293643,0.0002309402,0.00001734908,0.00004237418,0.00008452788,0.0001891018,0.0002152938,0.0008005324,0.9960124,0.00001977167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004973144,0.00003179669,0.00004550068,0.00004182575,0.00001400875,0.000005861637,0.9988101,0.0004162927,0.0005849603],"genre_scores_gemma":[0.0001815072,0.00003804598,0.0001973668,0.00005012341,0.000004046778,0.00004717302,0.9988826,0.0001471917,0.0004519931],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8485312,"threshold_uncertainty_score":0.5067134,"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."}}