{"id":"W6924826991","doi":"10.15468/dl.y5n2v4","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; Set (abstract data type)","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":[0.001131876,0.00199657,0.001655535,0.005431792,0.0009973419,0.002732762,0.002820574,0.001989962,0.1728699],"category_scores_gemma":[0.006971202,0.0009938868,0.001147203,0.01071994,0.0004631586,0.002356967,0.002641173,0.002003865,0.2267192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668456,"about_ca_system_score_gemma":0.002491393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309862,"about_ca_topic_score_gemma":0.0355442,"domain_scores_codex":[0.9988536,0.0001544769,0.0001590426,0.0004019011,0.0002495618,0.0001814014],"domain_scores_gemma":[0.9970499,0.0008904185,0.0002893468,0.0007423034,0.000707768,0.0003201767],"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":[0.00002760146,0.000009905302,0.0003672618,0.0005583488,0.00001528928,0.00001473538,0.00002468501,0.0001133067,0.0001036814,0.000372258,0.9971504,0.001242461],"study_design_scores_gemma":[0.00007590831,0.00000754787,0.001879088,0.0002012659,0.00001586674,0.00003772435,0.00007522865,0.0001364646,0.0001745536,0.000743072,0.996635,0.00001826868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003099678,0.00002111901,0.00003938321,0.00003021269,0.000009718093,0.000004344588,0.9990382,0.0003077494,0.000518238],"genre_scores_gemma":[0.000149421,0.00003174122,0.0001806711,0.0000418925,0.000003267849,0.00004084389,0.9989721,0.0001547075,0.000425434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8271301,"threshold_uncertainty_score":0.5783074,"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."}}