{"id":"W6887307335","doi":"10.15468/dl.vusk8g","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); 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":[0.001032644,0.001802875,0.001535629,0.005508057,0.0008909714,0.002519487,0.00257773,0.001757327,0.1829751],"category_scores_gemma":[0.006257291,0.0009139477,0.001110695,0.01033376,0.0004246494,0.0022539,0.002747795,0.001803932,0.2419684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434673,"about_ca_system_score_gemma":0.002285697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01928748,"about_ca_topic_score_gemma":0.03298116,"domain_scores_codex":[0.9989522,0.0001378713,0.0001421359,0.0003569648,0.0002323309,0.0001784085],"domain_scores_gemma":[0.9973229,0.0007285787,0.0002657603,0.0006957048,0.0006726906,0.0003144808],"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":[0.0000300115,0.000009648106,0.000373138,0.0005638828,0.00001533095,0.00001470058,0.00002436328,0.000101486,0.0001250746,0.0003979338,0.996819,0.001525401],"study_design_scores_gemma":[0.00006252913,0.000007583893,0.001872831,0.0001926159,0.00001406953,0.00003483601,0.0000679544,0.0001120227,0.0002019318,0.0007472303,0.9966698,0.00001661144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003603994,0.00002185115,0.00004273979,0.00002805982,0.000009832119,0.000005041664,0.9988779,0.0003578671,0.0006206291],"genre_scores_gemma":[0.0001531866,0.00003100099,0.0001916878,0.00004141042,0.000003526797,0.00004222338,0.9989392,0.000160665,0.0004370203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8170248,"threshold_uncertainty_score":0.6121128,"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."}}