{"id":"W6905720888","doi":"10.15468/dl.qnu5t8","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Alien","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":[0.0009009805,0.001970879,0.001583452,0.005006738,0.0009856505,0.002524276,0.002675723,0.001894029,0.1731658],"category_scores_gemma":[0.005743193,0.0008876477,0.00124088,0.01008233,0.0004356927,0.002142807,0.002536786,0.001873418,0.2357852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537287,"about_ca_system_score_gemma":0.00239446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298002,"about_ca_topic_score_gemma":0.03717845,"domain_scores_codex":[0.9989875,0.0001327889,0.0001237067,0.0003581016,0.0002198912,0.0001780239],"domain_scores_gemma":[0.9977545,0.0006331503,0.0002092924,0.0005713042,0.0005764454,0.0002553584],"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":[0.00002850466,0.00001017273,0.0003376263,0.0005213617,0.00001329988,0.00001335195,0.00002111407,0.0001075538,0.0001141436,0.0003613124,0.9970403,0.001431067],"study_design_scores_gemma":[0.00006460342,0.000008749846,0.001739333,0.0001828838,0.00001421841,0.00003373088,0.00006281046,0.000124449,0.000182734,0.0007434976,0.9968259,0.00001704584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004116452,0.00002859645,0.00004073237,0.00003470591,0.00001219753,0.000005067652,0.9987999,0.0003594066,0.0006781903],"genre_scores_gemma":[0.0001526949,0.00003793436,0.0001859422,0.00004763038,0.000003665893,0.00004296128,0.9988077,0.0001570742,0.0005643251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8268342,"threshold_uncertainty_score":0.5792973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}