{"id":"W6943763143","doi":"10.15468/dl.q86gfs","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","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":[0.0009922236,0.002010828,0.001664732,0.005020421,0.0009795807,0.002651855,0.002858362,0.002145635,0.1560968],"category_scores_gemma":[0.006182651,0.000921348,0.001161981,0.01000605,0.0004440067,0.002413822,0.002535361,0.00205731,0.2175111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535339,"about_ca_system_score_gemma":0.002246746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976478,"about_ca_topic_score_gemma":0.0332256,"domain_scores_codex":[0.9989428,0.0001508626,0.0001347495,0.0003778081,0.0002259646,0.0001677032],"domain_scores_gemma":[0.9974017,0.0007525239,0.0002436075,0.0006929634,0.0006141576,0.0002950453],"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":[0.00003029976,0.00001191129,0.0003813566,0.0005676117,0.0000158653,0.00001547485,0.00002380792,0.0001416162,0.0001115104,0.0003945377,0.9969267,0.001379316],"study_design_scores_gemma":[0.00007701435,0.00000817995,0.001777597,0.0001881916,0.00001430528,0.00003579967,0.00007302832,0.0001613657,0.0001750815,0.0008668893,0.9966038,0.00001868777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003947168,0.00002517306,0.00004310849,0.00003377067,0.00001092247,0.000004771668,0.998917,0.0003593994,0.0005664951],"genre_scores_gemma":[0.0001610516,0.00003223705,0.000204064,0.00004266015,0.000003426628,0.00004096187,0.9989335,0.0001442229,0.0004378601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439032,"threshold_uncertainty_score":0.5221958,"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."}}