{"id":"W6962199983","doi":"10.15468/dl.v5wwjb","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":"Download; Matching (statistics); Alien; Range (aeronautics); The Internet","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":[0.00100846,0.001927651,0.001595858,0.005003177,0.0009909562,0.002491129,0.002805227,0.002103273,0.1538351],"category_scores_gemma":[0.006013609,0.0009133231,0.001233416,0.009923025,0.0004577874,0.002246539,0.002508265,0.002003079,0.215049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156212,"about_ca_system_score_gemma":0.002352252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213705,"about_ca_topic_score_gemma":0.0348771,"domain_scores_codex":[0.9989923,0.0001383383,0.0001251961,0.0003482335,0.0002290793,0.0001668868],"domain_scores_gemma":[0.9974674,0.0007403889,0.0002283887,0.0006623405,0.0006214641,0.0002801048],"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":[0.00002936479,0.0000124743,0.0003965534,0.0005884967,0.00001561467,0.00001609859,0.00002485357,0.0001305513,0.0001300495,0.0003776793,0.9968289,0.001449419],"study_design_scores_gemma":[0.00007665779,0.000009206206,0.002123441,0.0002148599,0.0000152431,0.0000396448,0.00007884641,0.0001488472,0.0002019814,0.0007479569,0.9963254,0.00001789921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004564811,0.00002912157,0.00004135574,0.00003651737,0.00001218362,0.000005444049,0.9988386,0.0003702128,0.0006209759],"genre_scores_gemma":[0.0001586852,0.0000341604,0.0001859705,0.00004370615,0.000003509094,0.00004213899,0.9989548,0.0001370529,0.0004398799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461649,"threshold_uncertainty_score":0.5146297,"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."}}