{"id":"W6943133214","doi":"10.15468/dl.msm5ee","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); Confidentiality","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":[0.001004002,0.001926054,0.00159486,0.005073332,0.001018282,0.002533803,0.002808008,0.001998645,0.1488523],"category_scores_gemma":[0.005678423,0.000903709,0.001164271,0.01037298,0.0004501304,0.002220325,0.002485515,0.002020976,0.2058338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671027,"about_ca_system_score_gemma":0.002436478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02661221,"about_ca_topic_score_gemma":0.04240939,"domain_scores_codex":[0.9989687,0.0001350869,0.0001285922,0.000348878,0.0002486604,0.0001700324],"domain_scores_gemma":[0.9977006,0.0006433743,0.0002178763,0.0006043478,0.0005622372,0.0002715789],"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":[0.00002728927,0.00001082428,0.0003587971,0.0004623604,0.00001454283,0.00001447796,0.00002416916,0.000127449,0.000115976,0.0004188331,0.9970337,0.00139151],"study_design_scores_gemma":[0.00006620216,0.000007006756,0.001868824,0.0001712501,0.00001382781,0.00003586831,0.00007123062,0.0001436478,0.0001915822,0.0007504829,0.9966626,0.00001749733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004398614,0.00002706137,0.00004773343,0.00003634805,0.00001152454,0.000004943983,0.9987755,0.0003891393,0.0006638045],"genre_scores_gemma":[0.0001583408,0.00003201882,0.0001877314,0.00003989536,0.000003081239,0.0000370138,0.9989298,0.0001525102,0.000459757],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511477,"threshold_uncertainty_score":0.4979607,"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."}}