{"id":"W6906049798","doi":"10.15468/dl.xjwba6","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); Set (abstract data type); Data set","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":[0.001147313,0.001937514,0.001699807,0.005457165,0.0010505,0.002923828,0.002975588,0.002078026,0.1840934],"category_scores_gemma":[0.007003795,0.001010797,0.001162408,0.01101317,0.0004600302,0.002538471,0.002730155,0.002069973,0.2464448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618513,"about_ca_system_score_gemma":0.002416735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023931,"about_ca_topic_score_gemma":0.03250209,"domain_scores_codex":[0.9988373,0.0001594962,0.0001560344,0.0004063047,0.0002563017,0.0001846045],"domain_scores_gemma":[0.9972022,0.0008325611,0.0002612845,0.0007119454,0.0006857447,0.000306301],"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":[0.00002654692,0.000009530924,0.0003205982,0.0005410009,0.0000145911,0.00001368167,0.00002333083,0.000104389,0.0001025274,0.0003808588,0.9971027,0.00136021],"study_design_scores_gemma":[0.00006235315,0.000006531566,0.001535562,0.0001960909,0.00001394878,0.00003300342,0.00006797932,0.0001186475,0.0001616036,0.0007416637,0.9970461,0.00001651534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003197404,0.00002501797,0.0000468773,0.00003229579,0.00001083862,0.000004780276,0.9988682,0.0003562844,0.0006235964],"genre_scores_gemma":[0.0001443134,0.00003463463,0.000196512,0.0000440357,0.000003319407,0.00004237611,0.9988869,0.0001785086,0.0004694289],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8159066,"threshold_uncertainty_score":0.6158538,"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."}}