{"id":"W6943749292","doi":"10.15468/dl.wabnjs","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; State (computer science)","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":[0.0009814766,0.001911659,0.001580437,0.005063017,0.0009940664,0.002632021,0.002658091,0.002075083,0.1647733],"category_scores_gemma":[0.006338219,0.0008569211,0.001235364,0.009511334,0.0004314713,0.002304617,0.002499351,0.001920194,0.2232259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549255,"about_ca_system_score_gemma":0.002307147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174355,"about_ca_topic_score_gemma":0.03397324,"domain_scores_codex":[0.9990053,0.0001379127,0.0001251414,0.000350359,0.0002156954,0.0001656536],"domain_scores_gemma":[0.9974725,0.0007752107,0.0002253462,0.0006356973,0.0006228242,0.0002684615],"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":[0.00002862502,0.00001109191,0.000400877,0.0005733138,0.00001453752,0.00001560062,0.0000229269,0.0001229898,0.0001134081,0.0003544466,0.9968228,0.00151929],"study_design_scores_gemma":[0.00006837567,0.000008853638,0.001870829,0.0002221054,0.00001503641,0.00003697826,0.00007706761,0.0001618396,0.0001843242,0.000744024,0.9965933,0.00001725396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004283545,0.00003090932,0.00004419671,0.00003998629,0.00001271261,0.000005804876,0.9987869,0.0004065572,0.0006300969],"genre_scores_gemma":[0.0001770549,0.00003912288,0.0002056846,0.00005176651,0.000004020106,0.00004848991,0.9988293,0.0001588945,0.0004857577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8352267,"threshold_uncertainty_score":0.5512215,"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."}}