{"id":"W6943353110","doi":"10.15468/dl.kfnye4","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; Minor (academic)","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":[0.001058179,0.001917276,0.001588667,0.004785528,0.000945893,0.002522246,0.002759115,0.002134756,0.1427681],"category_scores_gemma":[0.005919338,0.0008798941,0.001211309,0.009676306,0.0004472423,0.002135337,0.002356448,0.001991026,0.2081126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158736,"about_ca_system_score_gemma":0.002335719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212821,"about_ca_topic_score_gemma":0.03596134,"domain_scores_codex":[0.9989324,0.0001511359,0.0001387878,0.0003705308,0.0002354133,0.0001717544],"domain_scores_gemma":[0.9974474,0.0007527895,0.000243392,0.0006687682,0.0006022417,0.0002854878],"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":[0.0000296518,0.00001258749,0.000415522,0.0005343056,0.00001585605,0.00001468582,0.00002208316,0.0001434784,0.0001189575,0.0003547213,0.9969848,0.001353405],"study_design_scores_gemma":[0.00008398773,0.000009973586,0.002352421,0.0002099843,0.00001622403,0.00003937038,0.00007760081,0.0001750717,0.0002052554,0.0008085176,0.9960019,0.0000195576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004270225,0.00002530444,0.00003759712,0.00003363865,0.00001100174,0.000004876538,0.9990072,0.0003029908,0.0005347327],"genre_scores_gemma":[0.0001542159,0.00003008145,0.0001691261,0.00003927407,0.000003244434,0.00003900387,0.9990489,0.0001100129,0.0004061449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8572319,"threshold_uncertainty_score":0.477607,"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."}}