{"id":"W6905846968","doi":"10.15468/dl.ws5ux8","title":"Occurrence Download","year":2023,"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); Ophiostoma; Alien","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":[0.0009631963,0.00182474,0.001506322,0.004974239,0.001002495,0.002631261,0.002692288,0.00200244,0.1724957],"category_scores_gemma":[0.00616266,0.0008663809,0.001241689,0.009645921,0.0004244526,0.002353609,0.002493304,0.001963069,0.230485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588572,"about_ca_system_score_gemma":0.002317874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297272,"about_ca_topic_score_gemma":0.03542545,"domain_scores_codex":[0.9989955,0.0001411819,0.0001241914,0.0003520094,0.0002192342,0.0001678815],"domain_scores_gemma":[0.9975151,0.0007584573,0.0002104742,0.0006246674,0.0006289672,0.0002624114],"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":[0.00002713089,0.000011314,0.0003969197,0.0005490132,0.00001411579,0.00001553829,0.00002556657,0.0001175298,0.000106124,0.0003860498,0.9968917,0.0014591],"study_design_scores_gemma":[0.00006455282,0.000007640368,0.001863059,0.000210054,0.00001405547,0.00003471915,0.00008576312,0.0001491957,0.0001777528,0.0007765244,0.996599,0.00001765606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000408235,0.00002692159,0.00004360921,0.00004019167,0.00001203432,0.00000562424,0.9987935,0.0003650491,0.0006723062],"genre_scores_gemma":[0.000177496,0.00003847606,0.0002097978,0.00004962292,0.000003882862,0.00004900916,0.9987578,0.0001594902,0.0005544213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8275043,"threshold_uncertainty_score":0.5770556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}