{"id":"W6962264261","doi":"10.15468/dl.x3ph6y","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); Alien; Range (aeronautics); 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":[0.001013726,0.00192412,0.001597772,0.005143797,0.001024626,0.002677241,0.002754245,0.00207906,0.1765235],"category_scores_gemma":[0.006553599,0.0009286741,0.00125093,0.009473754,0.0004519353,0.00233211,0.002570168,0.002006616,0.2310555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559707,"about_ca_system_score_gemma":0.002368584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108929,"about_ca_topic_score_gemma":0.03310615,"domain_scores_codex":[0.9989614,0.0001445537,0.000129764,0.0003699826,0.0002214801,0.0001727162],"domain_scores_gemma":[0.997329,0.0008393658,0.0002342593,0.0006756117,0.0006324091,0.000289414],"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":[0.00002825986,0.00001130039,0.0003906862,0.0005856771,0.00001494629,0.00001599515,0.00002386855,0.0001233477,0.0001118498,0.0003502971,0.99696,0.001383762],"study_design_scores_gemma":[0.00007849817,0.00000947402,0.002013811,0.0002339768,0.00001692461,0.00004011998,0.00008335226,0.0001675206,0.0001881312,0.000815853,0.9963335,0.00001891169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003916833,0.00002706666,0.0000412485,0.00003750686,0.00001228429,0.000005587336,0.9989107,0.0003589619,0.0005675238],"genre_scores_gemma":[0.0001631153,0.00003616372,0.000193787,0.00005015003,0.000003796102,0.0000480231,0.9988708,0.0001539365,0.0004802713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8234765,"threshold_uncertainty_score":0.59053,"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."}}