{"id":"W6905881841","doi":"10.15468/dl.tmsf6m","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); The Internet; Alien","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":[0.0009689517,0.002071264,0.001580877,0.004868226,0.001040907,0.002611306,0.002852093,0.002249772,0.1656695],"category_scores_gemma":[0.006074378,0.0009074364,0.001287638,0.008841967,0.0004611713,0.002436377,0.002585459,0.002018984,0.2351421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590413,"about_ca_system_score_gemma":0.002302478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224928,"about_ca_topic_score_gemma":0.03604296,"domain_scores_codex":[0.9989994,0.0001397209,0.0001177861,0.0003600249,0.0002172246,0.0001658323],"domain_scores_gemma":[0.9975196,0.0007410485,0.0002056558,0.0006566742,0.00059966,0.0002774473],"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":[0.00002591817,0.00001195542,0.0003554994,0.0004821586,0.0000125073,0.00001452129,0.00002159236,0.0001156387,0.0001010187,0.0003161574,0.9972113,0.001331745],"study_design_scores_gemma":[0.0000761171,0.000009824752,0.001923173,0.0002042011,0.00001435475,0.00004012926,0.00008148879,0.0001899208,0.0001925152,0.0008122305,0.9964374,0.00001877768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004785494,0.00003066349,0.00004749109,0.00004450251,0.00001460717,0.000006472165,0.9986717,0.0004616308,0.0006751925],"genre_scores_gemma":[0.0001791574,0.00003571141,0.0002171714,0.00005558047,0.000004369663,0.00005036211,0.9987624,0.0001658833,0.000529439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8343305,"threshold_uncertainty_score":0.5542197,"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."}}