{"id":"W6962616377","doi":"10.15468/dl.yw4ahe","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); 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":[0.0009516398,0.00187156,0.001511568,0.004952879,0.0009782667,0.00240047,0.002685781,0.002012346,0.1482749],"category_scores_gemma":[0.005630118,0.0008864749,0.001158595,0.01008425,0.0004534071,0.002079805,0.002467992,0.001946871,0.2060292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622746,"about_ca_system_score_gemma":0.002373052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373154,"about_ca_topic_score_gemma":0.0385168,"domain_scores_codex":[0.9990305,0.0001266781,0.000124792,0.0003315078,0.0002233633,0.0001631025],"domain_scores_gemma":[0.9977324,0.000642799,0.0002184043,0.0005946668,0.0005523546,0.0002593974],"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":[0.00002914105,0.00001156962,0.0004059729,0.0005361856,0.00001552012,0.00001609758,0.00002819819,0.0001364589,0.0001365894,0.0004134114,0.9967293,0.001541674],"study_design_scores_gemma":[0.00006927725,0.000007612939,0.00197065,0.0001913187,0.00001456546,0.00003753762,0.00007638185,0.0001480774,0.0001940567,0.0007002702,0.9965732,0.00001704383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000449196,0.00002624571,0.00004441144,0.0000326602,0.0000109149,0.000005004765,0.9988536,0.0003555276,0.0006267175],"genre_scores_gemma":[0.000162195,0.00003078923,0.0001957128,0.00004023304,0.000002929106,0.00003901804,0.9989601,0.0001420098,0.0004269153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517251,"threshold_uncertainty_score":0.4960288,"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."}}