{"id":"W6887098411","doi":"10.15468/dl.nmt3ek","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009255537,0.00189743,0.00158761,0.004992326,0.0011065,0.003039368,0.00287866,0.001907919,0.197814],"category_scores_gemma":[0.006380105,0.0009510017,0.001393461,0.009617719,0.0004205499,0.002691932,0.002887841,0.00196493,0.2826088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488825,"about_ca_system_score_gemma":0.002384475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043323,"about_ca_topic_score_gemma":0.03203795,"domain_scores_codex":[0.9989079,0.0001335188,0.000136585,0.0003909538,0.0002382169,0.0001929062],"domain_scores_gemma":[0.9974805,0.0006564085,0.0002050706,0.0007050824,0.0006903223,0.0002626853],"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":[0.00002874818,0.000009701137,0.0004284406,0.0005003829,0.000014605,0.0000166721,0.00002621659,0.0001213006,0.00011964,0.0003907022,0.9964328,0.00191077],"study_design_scores_gemma":[0.00004928858,0.000006594385,0.001533285,0.0001495095,0.00001202774,0.00003314811,0.00007561961,0.0001555295,0.0001734,0.0007565171,0.9970393,0.00001588834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000494528,0.00003147695,0.00006994024,0.00004679284,0.00001825579,0.000006469731,0.9980981,0.0007427104,0.0009368049],"genre_scores_gemma":[0.0001925289,0.00004111812,0.000274742,0.00005444177,0.000005028828,0.00004595154,0.9984367,0.0002686862,0.0006808778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.802186,"threshold_uncertainty_score":0.6617539,"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."}}