{"id":"W6962158150","doi":"10.15468/dl.naxgx4","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAINT; Geodetic datum; State (computer science); Matching (statistics)","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":[0.0007044428,0.003304057,0.002212947,0.006826761,0.001209907,0.003088925,0.00239134,0.002744552,0.2459271],"category_scores_gemma":[0.004972318,0.0009694983,0.002092602,0.008832335,0.0003915573,0.003293159,0.003267705,0.002063631,0.3197647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382383,"about_ca_system_score_gemma":0.002435407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0235362,"about_ca_topic_score_gemma":0.03747261,"domain_scores_codex":[0.9989552,0.0001161142,0.0001518189,0.000366651,0.0002177613,0.0001923235],"domain_scores_gemma":[0.9978476,0.0006319389,0.0001706273,0.0005289472,0.0005093734,0.0003116155],"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":[0.00006364861,0.0000247845,0.000415772,0.0007205592,0.00001923312,0.00003312976,0.00003006238,0.0001907388,0.0001457778,0.000394636,0.9942803,0.003681301],"study_design_scores_gemma":[0.0001181699,0.00002005596,0.00180043,0.0002387507,0.00002510163,0.00008234347,0.0001089492,0.000599076,0.0002578243,0.001373857,0.995343,0.00003254933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001023784,0.00008324998,0.000129953,0.00006038893,0.00003687901,0.00001536601,0.995537,0.002221321,0.001813447],"genre_scores_gemma":[0.0002976501,0.00008285563,0.0006324272,0.000102429,0.000009620733,0.00005947231,0.9973484,0.0004077847,0.001059448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.754073,"threshold_uncertainty_score":0.822708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}