{"id":"W6905982071","doi":"10.15468/dl.wp8jxu","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); 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":[0.001031345,0.002004404,0.001582559,0.004797124,0.001041812,0.002676958,0.002733409,0.002268592,0.1536632],"category_scores_gemma":[0.006687578,0.0008975476,0.001309732,0.008856203,0.0004560235,0.002508276,0.002608578,0.002029759,0.2192325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583858,"about_ca_system_score_gemma":0.002373557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216416,"about_ca_topic_score_gemma":0.0336603,"domain_scores_codex":[0.9988897,0.0001624013,0.0001380284,0.0003958786,0.0002359464,0.000178038],"domain_scores_gemma":[0.9972014,0.0008464486,0.0002339931,0.0007462039,0.0006798454,0.0002921037],"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":[0.0000309556,0.00001279429,0.0004322469,0.000553261,0.00001462476,0.00001619187,0.00002386692,0.0001381103,0.0001093996,0.0003547689,0.9968415,0.001472282],"study_design_scores_gemma":[0.00007749694,0.00001017592,0.001995764,0.0002142361,0.0000152369,0.0000391635,0.00008552252,0.000199968,0.000192892,0.0008597073,0.9962904,0.00001945572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004880388,0.00003044159,0.0000481505,0.0000468423,0.00001491643,0.000006431177,0.9987042,0.0004666175,0.0006335478],"genre_scores_gemma":[0.0001829491,0.00003567403,0.0002185433,0.00005321441,0.000004309325,0.00004813605,0.9988349,0.0001535647,0.0004688318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463368,"threshold_uncertainty_score":0.5140545,"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."}}