{"id":"W6887216598","doi":"10.15468/dl.w7abay","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008699583,0.001752176,0.001492377,0.004618181,0.0009987378,0.002765847,0.002633363,0.001797763,0.1746075],"category_scores_gemma":[0.005800021,0.0008623095,0.001331458,0.008910094,0.0003982155,0.002390837,0.002657749,0.001895228,0.2584515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346494,"about_ca_system_score_gemma":0.002167985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01823264,"about_ca_topic_score_gemma":0.03012359,"domain_scores_codex":[0.9989942,0.0001229855,0.0001282885,0.0003607599,0.0002196093,0.0001741814],"domain_scores_gemma":[0.9976867,0.0006076089,0.000190613,0.0006619269,0.0006027301,0.000250312],"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":[0.00003168605,0.0000107397,0.0004915582,0.0005402375,0.00001592978,0.00001835161,0.00002836986,0.0001402124,0.0001426451,0.0004140944,0.9960361,0.002130163],"study_design_scores_gemma":[0.00005153375,0.000007092641,0.001767119,0.0001578937,0.00001287795,0.00003767604,0.00007946735,0.000181676,0.0001897336,0.0008019942,0.9966965,0.00001641967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005553476,0.00003167104,0.00007341117,0.00004395982,0.00001806106,0.000006433393,0.9981655,0.000703396,0.0009019715],"genre_scores_gemma":[0.0002117823,0.00004043945,0.00029753,0.00005259662,0.000004985956,0.00004631209,0.9984847,0.0002390785,0.0006226009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8253925,"threshold_uncertainty_score":0.5841203,"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."}}