{"id":"W6887144173","doi":"10.15468/dl.rv8zet","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":[0.001027033,0.001968767,0.001578514,0.004866401,0.00101438,0.002531286,0.00281095,0.002119156,0.1575967],"category_scores_gemma":[0.00594163,0.0009120565,0.001269994,0.009136402,0.0004489597,0.002327202,0.002621269,0.002044034,0.2257838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579483,"about_ca_system_score_gemma":0.002324899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130334,"about_ca_topic_score_gemma":0.03466398,"domain_scores_codex":[0.9989371,0.000144781,0.0001335396,0.0003759855,0.0002318831,0.0001768421],"domain_scores_gemma":[0.9974061,0.0007369979,0.0002282882,0.0007097052,0.0006262191,0.0002926268],"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":[0.0000293555,0.00001267216,0.0003768634,0.0005171184,0.00001437667,0.00001490709,0.00002408381,0.0001197505,0.0001221537,0.0003631534,0.9969916,0.001413851],"study_design_scores_gemma":[0.00007641011,0.000009743655,0.002025893,0.0002006145,0.00001477034,0.00003883319,0.00007995014,0.0001585187,0.0001970461,0.0007632098,0.9964163,0.00001855477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004512682,0.00002611339,0.00004412343,0.00003801371,0.00001305638,0.0000058365,0.9988402,0.0003876369,0.0005999465],"genre_scores_gemma":[0.0001559726,0.00003161236,0.0001971647,0.00004510853,0.000003518059,0.00004344068,0.998922,0.0001431273,0.0004580434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424033,"threshold_uncertainty_score":0.5272135,"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."}}