{"id":"W6905948266","doi":"10.15468/dl.u4d2se","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":[0.0009948332,0.001966383,0.001547292,0.004785364,0.001020377,0.00260016,0.002722296,0.00212491,0.1530718],"category_scores_gemma":[0.006198111,0.0008773826,0.001265007,0.008953161,0.0004444643,0.00245681,0.002546281,0.001967779,0.2238825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151673,"about_ca_system_score_gemma":0.002207867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046315,"about_ca_topic_score_gemma":0.0325609,"domain_scores_codex":[0.9989328,0.0001516179,0.0001343075,0.0003814545,0.0002284121,0.0001714571],"domain_scores_gemma":[0.9974042,0.000735642,0.0002238415,0.0007061973,0.0006485155,0.0002815984],"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":[0.00002913739,0.00001248671,0.0004034624,0.0005032426,0.00001388209,0.00001527013,0.00002223429,0.0001223585,0.0001103881,0.0003384939,0.996969,0.00145993],"study_design_scores_gemma":[0.00007286737,0.000009821366,0.002031397,0.0002013912,0.0000144037,0.00004075197,0.00008283155,0.0001804992,0.0001937013,0.0007766748,0.9963772,0.00001843284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004972978,0.00002996466,0.00004863787,0.0000435795,0.00001487156,0.000006233495,0.9987034,0.0004465312,0.0006570049],"genre_scores_gemma":[0.0001727164,0.00003413941,0.0002080199,0.00005010627,0.000004193786,0.00004380115,0.9988601,0.0001459924,0.0004809377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469282,"threshold_uncertainty_score":0.5120763,"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."}}