{"id":"W6905727927","doi":"10.15468/dl.k8mky6","title":"Occurrence Download","year":2022,"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); Vulnerability (computing)","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":[0.0009780802,0.001925407,0.001663204,0.005084857,0.0009596143,0.002599878,0.002762823,0.001936693,0.1738377],"category_scores_gemma":[0.005830564,0.0009236637,0.00112709,0.01015025,0.0004401422,0.002322135,0.002630032,0.001955901,0.2347844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489377,"about_ca_system_score_gemma":0.002206232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01891909,"about_ca_topic_score_gemma":0.03206409,"domain_scores_codex":[0.999007,0.0001305589,0.0001276904,0.0003493863,0.0002170683,0.000168241],"domain_scores_gemma":[0.9976218,0.0006530883,0.0002301706,0.0006206768,0.0005923712,0.0002818765],"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":[0.00002933829,0.00001064239,0.0003758544,0.0005913271,0.00001522138,0.00001419568,0.00002439571,0.0001249145,0.0001266382,0.0003904471,0.9968237,0.001473415],"study_design_scores_gemma":[0.00006841501,0.000007064846,0.00167116,0.0001851908,0.00001322198,0.0000315047,0.00006772579,0.0001253698,0.0001746784,0.0007480804,0.9968911,0.00001659961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003722607,0.0000249104,0.00004255804,0.00002989407,0.00001073567,0.000004821002,0.9988927,0.0003368714,0.0006203581],"genre_scores_gemma":[0.0001637245,0.00003410134,0.0002003192,0.00004263741,0.000003488715,0.00004284063,0.9988678,0.0001603625,0.0004847915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8261623,"threshold_uncertainty_score":0.581545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}