{"id":"W6887286449","doi":"10.15468/dl.tx7hp4","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","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":[0.001060268,0.001981165,0.001634055,0.004699271,0.001020878,0.002598949,0.002816189,0.00224336,0.1378411],"category_scores_gemma":[0.006241599,0.0009360385,0.001354173,0.009303704,0.0004684404,0.002291767,0.002536969,0.002071262,0.2024416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490408,"about_ca_system_score_gemma":0.002252916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941581,"about_ca_topic_score_gemma":0.0308892,"domain_scores_codex":[0.9989238,0.0001542338,0.0001387246,0.000378598,0.0002341029,0.0001704799],"domain_scores_gemma":[0.9973161,0.000796447,0.0002365827,0.0007418285,0.0006149499,0.0002941411],"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":[0.00003294103,0.00001431628,0.0004340371,0.0005945382,0.00001701604,0.0000168683,0.00002362971,0.0001549579,0.0001335322,0.0003512033,0.9967293,0.001497731],"study_design_scores_gemma":[0.00009577484,0.00001244789,0.002421378,0.000229021,0.00001777887,0.00004481661,0.00008749664,0.0002241636,0.0002257423,0.0008603541,0.9957595,0.00002156958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005303277,0.0000308808,0.00004745012,0.0000437984,0.00001548899,0.000006530085,0.9987955,0.0004471356,0.0005601107],"genre_scores_gemma":[0.0001684416,0.00003543046,0.0002079334,0.00004796938,0.000003970232,0.00004707743,0.9989474,0.0001354819,0.0004063855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8621589,"threshold_uncertainty_score":0.4611245,"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."}}