{"id":"W6961891856","doi":"10.15468/dl.mg5hbz","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); Alien; 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":[0.001023165,0.001937368,0.001603833,0.004783013,0.00102226,0.002611636,0.002681467,0.002162415,0.1440084],"category_scores_gemma":[0.006379507,0.0008813911,0.001313201,0.009316471,0.0004559027,0.002358674,0.002579699,0.002013465,0.2094834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532796,"about_ca_system_score_gemma":0.002280682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209918,"about_ca_topic_score_gemma":0.03370434,"domain_scores_codex":[0.9989028,0.0001579913,0.0001412251,0.0003871039,0.0002324896,0.0001784534],"domain_scores_gemma":[0.9972819,0.000811164,0.0002415152,0.000726288,0.0006345595,0.0003045025],"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":[0.00003034224,0.00001212633,0.0004116575,0.0005449895,0.00001476907,0.00001509908,0.00002252265,0.0001341848,0.0001106358,0.0003360957,0.9969537,0.001413822],"study_design_scores_gemma":[0.0000796204,0.0000108631,0.002155804,0.0002262846,0.00001601745,0.00004144154,0.00008616353,0.000192842,0.0001926161,0.0007940944,0.9961849,0.00001943586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004921355,0.00003123866,0.00004433765,0.00004382724,0.00001532069,0.000005875003,0.9988387,0.0003980163,0.0005735902],"genre_scores_gemma":[0.0001720924,0.00003772122,0.00019557,0.00005192221,0.000004135359,0.00004408699,0.9989122,0.0001326151,0.0004496073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8559916,"threshold_uncertainty_score":0.4817561,"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."}}