{"id":"W6924727385","doi":"10.15468/dl.knmj7d","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); 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":[0.001011848,0.002081434,0.001734904,0.005308518,0.001061284,0.002830323,0.003040187,0.002068899,0.1620697],"category_scores_gemma":[0.006054546,0.0009745627,0.001198812,0.01136332,0.0004602079,0.002374717,0.002725715,0.002087402,0.2224506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779265,"about_ca_system_score_gemma":0.002743033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02900221,"about_ca_topic_score_gemma":0.04820817,"domain_scores_codex":[0.9989063,0.0001404286,0.0001347782,0.0003810194,0.000251924,0.000185488],"domain_scores_gemma":[0.997579,0.0006492957,0.0002278152,0.0006374107,0.0006110579,0.0002953632],"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":[0.00002857302,0.00001013011,0.0003482035,0.0005396582,0.00001577574,0.00001455563,0.00002546325,0.0001236451,0.0001208137,0.000428593,0.9970208,0.00132372],"study_design_scores_gemma":[0.00006095292,0.000006198696,0.00154705,0.000172859,0.00001393593,0.00003171598,0.00006714587,0.0001240114,0.0001837259,0.0007472661,0.9970284,0.00001680525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003454519,0.00002473835,0.00004375684,0.0000300505,0.000009740815,0.000004300205,0.9988627,0.0003676978,0.0006225127],"genre_scores_gemma":[0.0001391862,0.00003206485,0.0001835172,0.00003785907,0.000002646496,0.00003436572,0.9989599,0.0001618206,0.00044861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8379303,"threshold_uncertainty_score":0.5421773,"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."}}