{"id":"W6887023904","doi":"10.15468/dl.kbua5p","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); Set (abstract data type); 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":[0.001146475,0.001998197,0.001659434,0.00525727,0.001051009,0.002764344,0.002986985,0.002113184,0.1565225],"category_scores_gemma":[0.006649315,0.000966026,0.001205468,0.01028977,0.0004743713,0.002511828,0.002622445,0.002091549,0.2180647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699193,"about_ca_system_score_gemma":0.002536731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02340416,"about_ca_topic_score_gemma":0.03855848,"domain_scores_codex":[0.9987897,0.0001713523,0.0001666311,0.0004188208,0.0002661171,0.000187424],"domain_scores_gemma":[0.9971438,0.0008269485,0.0002648746,0.0007526982,0.0007018736,0.0003097247],"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":[0.00002878638,0.00001122165,0.000375445,0.0005506438,0.00001530592,0.00001547052,0.00002459017,0.0001246032,0.0001104573,0.0003976921,0.9970102,0.001335512],"study_design_scores_gemma":[0.00006945828,0.000007752929,0.001763218,0.0001954694,0.0000141719,0.0000381195,0.00007841787,0.000148559,0.000174058,0.0007666761,0.9967258,0.00001823521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003632958,0.0000239247,0.00004407389,0.00003396014,0.00001134579,0.000004805758,0.9989366,0.000342915,0.0005660707],"genre_scores_gemma":[0.0001387687,0.00003095354,0.0001897632,0.00003900754,0.000003079508,0.00003762271,0.9990144,0.0001343117,0.0004121191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8434775,"threshold_uncertainty_score":0.5236201,"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."}}