{"id":"W6924352423","doi":"10.15468/dl.6mpv4e","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":[0.001024925,0.001928212,0.001550402,0.005848685,0.0009453777,0.002500012,0.002715732,0.001839422,0.1705999],"category_scores_gemma":[0.006083744,0.000926828,0.001232388,0.01072091,0.000442941,0.002390625,0.002828782,0.001940344,0.2371668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558644,"about_ca_system_score_gemma":0.002574329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247886,"about_ca_topic_score_gemma":0.03868634,"domain_scores_codex":[0.9988564,0.00015011,0.0001515226,0.0003781366,0.000266746,0.0001970352],"domain_scores_gemma":[0.9971663,0.0007021031,0.0002661187,0.0007645863,0.0007580735,0.0003427244],"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":[0.00002856813,0.000009707624,0.0003496018,0.0005478985,0.00001486222,0.00001327441,0.00002188248,0.0001061657,0.0001314003,0.0003473775,0.996872,0.001557276],"study_design_scores_gemma":[0.00005911137,0.00000746602,0.001830035,0.0001854242,0.00001368297,0.00003182452,0.00006481128,0.0001034873,0.0001847212,0.0006717112,0.996831,0.00001678079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003767356,0.00002655782,0.0000411708,0.00003205972,0.00001155796,0.000005559012,0.9988438,0.0003651768,0.0006364152],"genre_scores_gemma":[0.0001509171,0.00003602068,0.0001961191,0.00004465974,0.000003672621,0.00004100718,0.998892,0.0001504393,0.0004852619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8294001,"threshold_uncertainty_score":0.5707134,"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."}}