{"id":"W6887297785","doi":"10.15468/dl.vzstxg","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); Identification (biology)","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":[0.001026399,0.001993623,0.001704322,0.005168031,0.0009956089,0.002689295,0.002831512,0.002057064,0.1630217],"category_scores_gemma":[0.006073502,0.0009513697,0.001161807,0.01052475,0.0004499605,0.002327729,0.002585727,0.002020798,0.2172222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559556,"about_ca_system_score_gemma":0.002312601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164406,"about_ca_topic_score_gemma":0.03596564,"domain_scores_codex":[0.9989653,0.0001407383,0.0001310289,0.0003627468,0.0002293315,0.0001708639],"domain_scores_gemma":[0.9975431,0.0007024239,0.0002335896,0.0006281436,0.0006045714,0.0002882728],"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":[0.00002948123,0.00001092055,0.0003719593,0.0006190831,0.00001585,0.00001527433,0.00002431459,0.000128193,0.0001214708,0.0003952853,0.9969258,0.001342319],"study_design_scores_gemma":[0.00007540826,0.000007524215,0.0018258,0.0002002475,0.00001475339,0.00003462819,0.00006967026,0.0001338242,0.0001750844,0.0007802136,0.9966651,0.00001786911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003754391,0.00002643467,0.00004160309,0.00003130713,0.00001041765,0.000004863473,0.9988985,0.0003365846,0.000612811],"genre_scores_gemma":[0.0001595266,0.00003483522,0.0001957073,0.00004392993,0.00000341275,0.00004329636,0.9989073,0.0001540421,0.0004578084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369783,"threshold_uncertainty_score":0.545362,"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."}}