{"id":"W6943328629","doi":"10.15468/dl.svydba","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); Alien; Range (aeronautics)","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":[0.0009213691,0.002081777,0.001581412,0.004927268,0.0009532311,0.002497898,0.00263896,0.00192315,0.1626759],"category_scores_gemma":[0.006194152,0.0008770904,0.001229868,0.009567073,0.0004331289,0.002160629,0.00252584,0.00179793,0.2159587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450766,"about_ca_system_score_gemma":0.002209891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969626,"about_ca_topic_score_gemma":0.03149966,"domain_scores_codex":[0.9989952,0.000135493,0.0001249472,0.0003665285,0.0002067306,0.0001710931],"domain_scores_gemma":[0.9976231,0.0006979415,0.0002306203,0.0006115886,0.0005700508,0.0002666594],"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":[0.00003404419,0.00001159406,0.0004275432,0.0005915283,0.0000157466,0.00001534277,0.00002307021,0.0001389763,0.0001236056,0.0003611274,0.9966974,0.001560177],"study_design_scores_gemma":[0.00007884989,0.00001101221,0.001947123,0.0001988352,0.00001629553,0.00003838738,0.00006984921,0.0001706282,0.0001961778,0.0008273843,0.9964265,0.00001895213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004673446,0.00002911799,0.00004243578,0.00003495306,0.00001278151,0.000005282137,0.9988073,0.0004179391,0.0006035055],"genre_scores_gemma":[0.0001758975,0.00003698746,0.0002075749,0.00004876886,0.000003947478,0.00004569528,0.9988387,0.0001638447,0.0004786572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373241,"threshold_uncertainty_score":0.5442052,"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."}}