{"id":"W6924877450","doi":"10.15468/dl.uqpm69","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":[0.001139814,0.001850536,0.001633625,0.005254216,0.001045073,0.00288517,0.002935384,0.001951567,0.1908784],"category_scores_gemma":[0.006777881,0.000994737,0.001141114,0.01050597,0.0004513221,0.002436721,0.002655925,0.002046112,0.2459079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535176,"about_ca_system_score_gemma":0.002410082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01967009,"about_ca_topic_score_gemma":0.03269521,"domain_scores_codex":[0.9988809,0.0001554026,0.0001471524,0.0003915288,0.0002469271,0.0001779818],"domain_scores_gemma":[0.9972616,0.0008145976,0.0002536808,0.0007114177,0.0006544524,0.0003041529],"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":[0.00002614463,0.000009352645,0.0003300841,0.0005266453,0.00001444108,0.00001336614,0.00002322214,0.0001015472,0.0001013612,0.0003987795,0.9971506,0.001304501],"study_design_scores_gemma":[0.00006225528,0.000006486685,0.001547883,0.0001879678,0.00001381956,0.00003258329,0.00007030658,0.0001118987,0.000160722,0.0007665996,0.9970232,0.00001632411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003302109,0.00002409219,0.00004750138,0.0000333495,0.00001112202,0.000004771211,0.9988546,0.0003423307,0.0006492496],"genre_scores_gemma":[0.0001518931,0.00003489862,0.0002023967,0.00004468082,0.000003509218,0.00004292846,0.9988337,0.0001818172,0.0005041148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8091216,"threshold_uncertainty_score":0.638552,"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."}}