{"id":"W6905987657","doi":"10.15468/dl.k5hqzj","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); 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":[0.001136629,0.002036343,0.001741868,0.005292262,0.001107853,0.002945559,0.003072488,0.002072549,0.1866481],"category_scores_gemma":[0.006610055,0.001038248,0.001183133,0.01052349,0.0004697565,0.002550559,0.002722667,0.002145606,0.2527757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641809,"about_ca_system_score_gemma":0.00242624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114929,"about_ca_topic_score_gemma":0.03428942,"domain_scores_codex":[0.9988639,0.0001504639,0.000147128,0.0004024922,0.0002534258,0.0001825488],"domain_scores_gemma":[0.9973622,0.0007727016,0.0002438329,0.0006881509,0.0006353228,0.0002977789],"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":[0.00002746589,0.000009608262,0.000310816,0.0005292902,0.00001415175,0.00001393556,0.00002278593,0.0001040335,0.0001112357,0.0003853161,0.9971676,0.001303576],"study_design_scores_gemma":[0.00006338105,0.000006547531,0.001514067,0.0001874955,0.00001402534,0.00003441062,0.00006592566,0.0001230566,0.0001778177,0.0007509429,0.9970451,0.00001712293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003176415,0.00002383801,0.00004863817,0.00003116734,0.0000109157,0.00000465392,0.9988324,0.000371285,0.0006454753],"genre_scores_gemma":[0.0001427599,0.00003323054,0.0002008831,0.00004226057,0.00000328618,0.00004216395,0.9988689,0.0001856076,0.0004808288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8133519,"threshold_uncertainty_score":0.6244002,"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."}}