{"id":"W6905836323","doi":"10.15468/dl.sgmapn","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); Alien; The Internet","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":[0.00100955,0.001939391,0.001529336,0.00493226,0.001043527,0.002586503,0.002702644,0.002104494,0.1616619],"category_scores_gemma":[0.006298282,0.0008974877,0.001249542,0.00925542,0.0004447745,0.002493705,0.002634246,0.001980573,0.2258584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563923,"about_ca_system_score_gemma":0.002322437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172792,"about_ca_topic_score_gemma":0.03409564,"domain_scores_codex":[0.9989381,0.0001493657,0.0001360102,0.0003696696,0.0002334243,0.0001734664],"domain_scores_gemma":[0.9973034,0.000777367,0.0002294693,0.0007289874,0.0006676391,0.0002931399],"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":[0.00002799083,0.00001210052,0.0003756603,0.0004957633,0.00001325744,0.00001507552,0.0000232502,0.0001177684,0.0001070341,0.0003522582,0.9970379,0.001421883],"study_design_scores_gemma":[0.00006980875,0.000009197315,0.001947855,0.0001986725,0.00001346266,0.00003842036,0.00008466426,0.0001635645,0.000187611,0.0007602319,0.9965088,0.00001770568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004736066,0.00002716358,0.00004837617,0.00004398832,0.00001463967,0.000006329013,0.998686,0.0004401163,0.0006860062],"genre_scores_gemma":[0.0001670358,0.00003372828,0.0002080496,0.00005066557,0.00000402861,0.0000443536,0.9988369,0.0001532741,0.0005018665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383381,"threshold_uncertainty_score":0.5408128,"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."}}