{"id":"W6887396262","doi":"10.15468/dl.zsxh5m","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); Data set; Set (abstract data type)","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":[0.001042104,0.002095663,0.001686163,0.004761957,0.001024186,0.002663658,0.002983664,0.002176,0.1747601],"category_scores_gemma":[0.006346227,0.0009913485,0.001189803,0.009308307,0.0004572776,0.002558447,0.00272127,0.002118005,0.2364622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551789,"about_ca_system_score_gemma":0.002390674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924125,"about_ca_topic_score_gemma":0.03412593,"domain_scores_codex":[0.9989197,0.0001530025,0.00013111,0.0003922418,0.0002320078,0.0001719849],"domain_scores_gemma":[0.9973469,0.0007633115,0.0002394855,0.000722417,0.0006205652,0.0003072923],"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":[0.00002747394,0.00001097615,0.0003102433,0.0005024264,0.00001352929,0.00001323046,0.00002107451,0.0001094974,0.0001002615,0.0003566107,0.9973143,0.001220341],"study_design_scores_gemma":[0.00007554624,0.000007716239,0.001566303,0.0001828984,0.00001333165,0.00003374216,0.00006139265,0.0001399523,0.0001782006,0.0008586495,0.9968645,0.00001777366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003644856,0.00002473271,0.00004573693,0.00003506705,0.00001096087,0.000005365263,0.998777,0.0004142745,0.000650469],"genre_scores_gemma":[0.0001541682,0.00003141184,0.0002049898,0.00004860983,0.000003462482,0.00004465093,0.9988464,0.0001812579,0.0004850572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.82524,"threshold_uncertainty_score":0.5846306,"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."}}