{"id":"W6887053959","doi":"10.15468/dl.nzyjj2","title":"Occurrence Download","year":2024,"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); Data set; Set (abstract data type)","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":[0.001025909,0.001900946,0.001650492,0.005894038,0.0009672311,0.002646644,0.002747416,0.001890185,0.172631],"category_scores_gemma":[0.006235004,0.0009360597,0.001206302,0.01114139,0.0004485567,0.002322469,0.002736964,0.001917612,0.2377018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612459,"about_ca_system_score_gemma":0.002556565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353746,"about_ca_topic_score_gemma":0.03792731,"domain_scores_codex":[0.9988393,0.0001500542,0.0001564858,0.0003779604,0.0002776562,0.0001985868],"domain_scores_gemma":[0.9973194,0.000700594,0.0002641349,0.0006725402,0.0007342723,0.0003090905],"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":[0.00002887517,0.00000964303,0.0003498443,0.0005825847,0.00001592746,0.00001311693,0.00002170721,0.0001115185,0.0001192844,0.0003571077,0.9968857,0.001504592],"study_design_scores_gemma":[0.0000606035,0.000007076498,0.001740262,0.0002005583,0.00001475937,0.0000320058,0.00006225421,0.0001007648,0.000178676,0.0006547247,0.9969319,0.00001635955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000331232,0.00002666046,0.00003598286,0.00003048145,0.00001014529,0.000004625887,0.9989417,0.0002986133,0.0006187545],"genre_scores_gemma":[0.0001401862,0.00003795515,0.0001708777,0.00004478607,0.000003347417,0.00003525454,0.9989508,0.0001374515,0.0004792193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.827369,"threshold_uncertainty_score":0.5775082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}