{"id":"W6905894196","doi":"10.15468/dl.q6a5vm","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); The Internet; Data set","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":[0.001163485,0.002040155,0.001705544,0.00548701,0.001118586,0.002873805,0.003038274,0.002123794,0.1715982],"category_scores_gemma":[0.006785612,0.001009967,0.001186366,0.01050493,0.0004821332,0.002516979,0.002687163,0.002148526,0.240336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685832,"about_ca_system_score_gemma":0.002500073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221524,"about_ca_topic_score_gemma":0.03602042,"domain_scores_codex":[0.998792,0.0001617983,0.0001575313,0.0004268216,0.0002691622,0.000192695],"domain_scores_gemma":[0.9971865,0.0008318466,0.00026118,0.0007342661,0.0006708299,0.00031548],"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":[0.00002733356,0.00001031886,0.0003397083,0.0005079418,0.00001411275,0.00001463395,0.00002309685,0.0001095254,0.000113076,0.000371232,0.997173,0.00129603],"study_design_scores_gemma":[0.00006616514,0.000007027243,0.001668153,0.000188134,0.000014101,0.00003711364,0.00007065105,0.0001369064,0.0001803577,0.0007568899,0.9968568,0.00001756123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000345585,0.00002390394,0.00004578529,0.00003273191,0.00001112222,0.000004629714,0.9988914,0.000360241,0.0005955444],"genre_scores_gemma":[0.0001406737,0.00003112679,0.0001901319,0.00004016433,0.000003233867,0.00003913833,0.998956,0.0001612929,0.000438206],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284017,"threshold_uncertainty_score":0.5740533,"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."}}