{"id":"W6943444751","doi":"10.15468/dl.s6fadw","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); 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":[0.0009764964,0.001960389,0.001560259,0.004664352,0.001026949,0.002563301,0.0027143,0.002108441,0.1545878],"category_scores_gemma":[0.00584476,0.0009016684,0.001284905,0.008986071,0.0004472536,0.002339504,0.002580768,0.001989082,0.2156422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521632,"about_ca_system_score_gemma":0.002264797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02144087,"about_ca_topic_score_gemma":0.03470486,"domain_scores_codex":[0.9989967,0.0001407755,0.0001240722,0.0003568366,0.0002176867,0.0001638914],"domain_scores_gemma":[0.9975119,0.0007355488,0.0002238004,0.0006700043,0.0005745086,0.0002842627],"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":[0.00002835879,0.00001202677,0.0003854125,0.0005255757,0.00001450795,0.00001490557,0.00002317354,0.0001255812,0.0001148921,0.0003376072,0.9970072,0.001410786],"study_design_scores_gemma":[0.00007602407,0.000009795315,0.002041356,0.0002037846,0.00001510556,0.00003963249,0.0000782969,0.0001708033,0.0001939309,0.000744281,0.9964085,0.00001844677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004865883,0.00003095844,0.0000456717,0.00004277626,0.00001457664,0.000006035807,0.9987556,0.0004258904,0.0006297921],"genre_scores_gemma":[0.0001741605,0.00003719425,0.0002051195,0.00005402429,0.000004083138,0.00004666539,0.9988351,0.0001520743,0.0004915732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8454121,"threshold_uncertainty_score":0.5171479,"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."}}