{"id":"W6962196804","doi":"10.15468/dl.uakcnr","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); Agrostis stolonifera","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":[0.001040411,0.001816072,0.001594005,0.005199103,0.0009477405,0.002604716,0.002778807,0.00199752,0.167471],"category_scores_gemma":[0.006222592,0.0009174073,0.001141147,0.009961024,0.0004462188,0.002227511,0.002733382,0.001907322,0.2213987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456232,"about_ca_system_score_gemma":0.002318479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893364,"about_ca_topic_score_gemma":0.03215782,"domain_scores_codex":[0.9989092,0.0001443465,0.000150218,0.0003702633,0.0002413535,0.0001846465],"domain_scores_gemma":[0.997409,0.0007102344,0.0002543113,0.0006812868,0.0006495852,0.0002954994],"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":[0.00003233353,0.00001145446,0.0004089799,0.0006357196,0.00001689352,0.00001623046,0.0000256229,0.000116543,0.0001440574,0.0004173233,0.9966537,0.001521102],"study_design_scores_gemma":[0.0000674984,0.000007937309,0.001897497,0.00020831,0.0000149155,0.00003665057,0.00006757653,0.0001144657,0.0001960401,0.0007065667,0.9966652,0.00001725921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003705145,0.00002495931,0.0000391066,0.00003020503,0.00001012866,0.000005190636,0.998943,0.0003150544,0.0005953685],"genre_scores_gemma":[0.0001521576,0.0000337021,0.0001797734,0.00004511367,0.000003271275,0.00004219349,0.9989844,0.0001370791,0.0004222124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8325289,"threshold_uncertainty_score":0.5602463,"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."}}