{"id":"W6906098578","doi":"10.15468/dl.yyv846","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); Alien; 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":[0.0009994721,0.001945813,0.001559309,0.004599113,0.001031056,0.002626838,0.002768276,0.002152403,0.1705276],"category_scores_gemma":[0.006665587,0.0009065437,0.001304497,0.00860789,0.0004420562,0.002494565,0.002513066,0.002016214,0.231774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535054,"about_ca_system_score_gemma":0.002300033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02139924,"about_ca_topic_score_gemma":0.03426399,"domain_scores_codex":[0.9989386,0.0001518577,0.0001284103,0.0003847747,0.0002271171,0.000169331],"domain_scores_gemma":[0.997291,0.0008260128,0.0002169539,0.000703413,0.0006818256,0.0002806799],"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":[0.00002771283,0.00001147909,0.0003631797,0.0004895959,0.00001305452,0.00001432378,0.00002094503,0.0001176327,0.0001014419,0.0003214375,0.9971774,0.001341879],"study_design_scores_gemma":[0.0000764844,0.000009525107,0.001854772,0.0002116042,0.00001477325,0.00003668296,0.00008030439,0.0001893301,0.0001872242,0.0008865431,0.9964334,0.00001934725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004359745,0.00002771321,0.00004796008,0.00004491696,0.00001430288,0.000006497696,0.9986804,0.0004587038,0.0006757783],"genre_scores_gemma":[0.0001778124,0.00003489773,0.0002237647,0.00005683139,0.000004362667,0.00005041396,0.9987699,0.000177673,0.0005043289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294724,"threshold_uncertainty_score":0.5704716,"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."}}