{"id":"W6962169541","doi":"10.15468/dl.zeuj97","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); Data set; 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":[0.00109654,0.001938796,0.001545143,0.004798716,0.001033974,0.002621053,0.002759294,0.001998806,0.1712244],"category_scores_gemma":[0.006485415,0.0009855748,0.001141557,0.009548196,0.0004540165,0.002306281,0.002665273,0.002051474,0.2315962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629576,"about_ca_system_score_gemma":0.002429321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02207691,"about_ca_topic_score_gemma":0.03658187,"domain_scores_codex":[0.9989213,0.0001393402,0.0001375962,0.0003815495,0.0002455829,0.0001748356],"domain_scores_gemma":[0.9973541,0.0007595712,0.0002410881,0.0006977626,0.0006437636,0.0003035891],"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":[0.00002645163,0.0000104989,0.0003594621,0.0005008954,0.00001391228,0.00001395736,0.00002460287,0.0001123516,0.000125113,0.000386037,0.9971249,0.001301894],"study_design_scores_gemma":[0.00006439433,0.0000073965,0.001830768,0.0001855817,0.00001435577,0.00003559419,0.00007124642,0.0001337725,0.0001909565,0.0007187037,0.9967296,0.00001751542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003664554,0.00002146246,0.00004722302,0.00003237679,0.00001119595,0.000004844628,0.9988415,0.0003713919,0.0006334062],"genre_scores_gemma":[0.0001444543,0.0000291775,0.0002103651,0.00004247014,0.000003018682,0.00004086296,0.9988974,0.0001721707,0.0004599438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287756,"threshold_uncertainty_score":0.5728027,"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."}}