{"id":"W6886908304","doi":"10.15468/dl.n52pn9","title":"Occurrence Download","year":2023,"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":[0.001069163,0.00196787,0.001637271,0.005011796,0.001035817,0.002691283,0.002911141,0.002237248,0.1608046],"category_scores_gemma":[0.006390198,0.0009352005,0.001294969,0.009764474,0.0004706631,0.002468689,0.002607268,0.002135904,0.2271054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641842,"about_ca_system_score_gemma":0.002440073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225994,"about_ca_topic_score_gemma":0.03679188,"domain_scores_codex":[0.9988561,0.0001639701,0.0001449542,0.0004007771,0.000249355,0.0001849505],"domain_scores_gemma":[0.9972102,0.0008145195,0.0002477674,0.0007505262,0.0006725691,0.0003044164],"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":[0.00002852175,0.00001137399,0.0003434151,0.000519654,0.00001459577,0.00001381935,0.00002146114,0.0001200967,0.0001029685,0.0003673546,0.9971575,0.001299195],"study_design_scores_gemma":[0.00007434395,0.000008384354,0.001762434,0.0001971318,0.00001454162,0.00003443232,0.00007071301,0.000141968,0.0001755558,0.0008580962,0.996644,0.00001844427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003550954,0.00002467514,0.00004001216,0.00003637826,0.00001169965,0.000005136014,0.9989443,0.000324162,0.0005781277],"genre_scores_gemma":[0.0001461341,0.00003279514,0.0001873386,0.00004655664,0.000003437719,0.00004199661,0.9989567,0.0001358528,0.0004491844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391954,"threshold_uncertainty_score":0.5379449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}