{"id":"W6905828269","doi":"10.15468/dl.5ru7ub","title":"Occurrence Download","year":2025,"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; Order (exchange)","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":[0.00098575,0.001706536,0.001432664,0.004581419,0.0008883783,0.002401921,0.002661908,0.001796921,0.1580552],"category_scores_gemma":[0.005879106,0.0008852159,0.00110178,0.009749947,0.0004111933,0.002131003,0.002314526,0.001824887,0.1954129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647775,"about_ca_system_score_gemma":0.00237163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02632766,"about_ca_topic_score_gemma":0.04022875,"domain_scores_codex":[0.9990158,0.0001283559,0.0001321652,0.0003367359,0.0002258887,0.0001609296],"domain_scores_gemma":[0.9977103,0.0006308351,0.0002271513,0.0005956102,0.0005731398,0.0002629218],"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":[0.00002587722,0.000009852779,0.0003894149,0.0004786905,0.00001492365,0.00001274753,0.00002296277,0.0001342557,0.0001016122,0.0004110913,0.9969631,0.001435512],"study_design_scores_gemma":[0.00006222498,0.000006810352,0.002009396,0.0001793554,0.00001381472,0.00003100395,0.00007226393,0.0001466138,0.0001753691,0.0006978245,0.9965893,0.00001601436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003617327,0.00002116134,0.00004069883,0.00003005549,0.000009827601,0.000004367957,0.9989809,0.0003014294,0.0005752541],"genre_scores_gemma":[0.0001714981,0.00002940073,0.0001968813,0.00003762441,0.000002938432,0.00003664875,0.9989402,0.0001329831,0.0004519885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419448,"threshold_uncertainty_score":0.5287473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}