{"id":"W6961940686","doi":"10.15468/dl.qdn9vc","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000346661,0.0002378929,0.0002046192,0.0001246104,0.0004365789,0.0003603998,0.001641761,0.0001714398,0.008186149],"category_scores_gemma":[0.00003605866,0.0002578446,0.0001400154,0.0004628164,0.00005087468,0.002201237,0.001283836,0.0003543638,0.05704945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819529,"about_ca_system_score_gemma":0.0001658424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003126356,"about_ca_topic_score_gemma":0.00001055196,"domain_scores_codex":[0.9983571,0.00008094039,0.0003873915,0.0002404958,0.0006637607,0.0002703325],"domain_scores_gemma":[0.9985416,0.00001591686,0.000367063,0.0007974103,0.0001549783,0.0001230549],"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":[0.000006940711,0.00002822439,0.00020241,0.00006954668,0.00001385645,0.00000209245,0.0000516777,0.00004798417,7.909462e-9,0.000001692087,0.9959221,0.003653414],"study_design_scores_gemma":[0.0001995572,0.00004051834,0.00003649131,8.377187e-7,0.00001187897,0.000009956476,0.00002578536,0.00002833547,3.961596e-7,0.000003955035,0.9993739,0.0002683677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008739663,0.000009578222,0.0009071712,0.0002214265,0.001059474,0.0002322113,0.997276,0.0001268849,0.00007982419],"genre_scores_gemma":[0.000004247344,0.00004034998,0.00001557104,0.000798667,0.000001030058,0.000004904476,0.9991351,8.829885e-9,8.942362e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0488633,"threshold_uncertainty_score":0.9999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315518149613033,"score_gpt":0.2137453180720228,"score_spread":0.2005901365758925,"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."}}