{"id":"W6962201140","doi":"10.15468/dl.zp5yaz","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0008848133,0.002046411,0.001554155,0.004660645,0.000951779,0.002400968,0.002635885,0.001911102,0.159046],"category_scores_gemma":[0.005684742,0.0009101289,0.001223786,0.008986342,0.000426532,0.00219563,0.002438676,0.001844406,0.2151761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516684,"about_ca_system_score_gemma":0.002251477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082435,"about_ca_topic_score_gemma":0.03367618,"domain_scores_codex":[0.9990118,0.0001326696,0.0001246765,0.0003629171,0.0002065136,0.0001614381],"domain_scores_gemma":[0.997816,0.0006373247,0.0002062776,0.0005598555,0.0005376638,0.0002428757],"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":[0.00003214393,0.00001175298,0.0003961291,0.000585478,0.00001548028,0.00001496306,0.00002181471,0.0001277293,0.0001343771,0.0003496116,0.9968584,0.001452103],"study_design_scores_gemma":[0.00007802859,0.00001066105,0.002022116,0.0001985909,0.00001627746,0.00003998746,0.00006680081,0.0001648348,0.0002107397,0.0007631428,0.9964101,0.00001878732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004479713,0.00002974202,0.00004167654,0.00003448915,0.00001214373,0.000005222738,0.998847,0.000387656,0.0005972406],"genre_scores_gemma":[0.0001605505,0.00003702592,0.0001889759,0.00004814522,0.00000354495,0.00004264755,0.998889,0.0001439845,0.0004860518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409539,"threshold_uncertainty_score":0.5320619,"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."}}