{"id":"W6887328528","doi":"10.15468/dl.yyr2gm","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); State (computer science); Confidentiality","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":[0.001033137,0.002033987,0.001551216,0.004829341,0.001020906,0.002471765,0.002880848,0.002194576,0.1394101],"category_scores_gemma":[0.005896819,0.0008788254,0.001191483,0.009056363,0.0004702689,0.002288495,0.002486945,0.002083391,0.1991626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562016,"about_ca_system_score_gemma":0.002272817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212505,"about_ca_topic_score_gemma":0.03712073,"domain_scores_codex":[0.9989459,0.0001549792,0.0001308936,0.000372839,0.0002253135,0.000170088],"domain_scores_gemma":[0.9975181,0.000721802,0.0002274183,0.0006675428,0.0005763088,0.0002889509],"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":[0.00002949327,0.00001343464,0.0004030142,0.0005104631,0.00001495891,0.00001531199,0.00002395203,0.0001455836,0.0001141801,0.0003662312,0.9969895,0.001373752],"study_design_scores_gemma":[0.00008022183,0.000009648268,0.00199125,0.0001895067,0.00001520701,0.00004171776,0.00008119324,0.0001951383,0.0001967296,0.0008296951,0.99635,0.00001950828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005248676,0.00002941515,0.00004937987,0.00004049682,0.00001380768,0.000005797885,0.9987956,0.000391635,0.0006212702],"genre_scores_gemma":[0.0001706702,0.00003095344,0.0002075188,0.00004380962,0.000003495361,0.00004265172,0.9989399,0.0001287792,0.000432215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8605899,"threshold_uncertainty_score":0.4663731,"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."}}