{"id":"W6887217781","doi":"10.15468/dl.sg5enf","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":"Matching (statistics); Download; Alien; Range (aeronautics); 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":[0.0009473306,0.001916639,0.00157897,0.00522691,0.0009962698,0.002693539,0.002731023,0.001995342,0.1841449],"category_scores_gemma":[0.006413206,0.0009069441,0.001188781,0.01019972,0.000431265,0.002317302,0.002570823,0.001897606,0.2402482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621154,"about_ca_system_score_gemma":0.002404521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132648,"about_ca_topic_score_gemma":0.03420546,"domain_scores_codex":[0.9988987,0.0001445093,0.0001470914,0.0003922737,0.0002362133,0.0001811477],"domain_scores_gemma":[0.9974953,0.0007286137,0.0002456051,0.0006020831,0.0006588153,0.0002697062],"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":[0.00002865876,0.00001084088,0.0003659546,0.0005875435,0.00001301992,0.00001401215,0.00002121168,0.0001072275,0.0001111232,0.0003626008,0.9968666,0.001511287],"study_design_scores_gemma":[0.00006484065,0.000008991906,0.001706038,0.0002094815,0.00001418894,0.000034031,0.0000658326,0.0001332825,0.0001781829,0.0007209558,0.9968463,0.00001785238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003613931,0.00002638611,0.00003765112,0.00003324452,0.00001141106,0.000005258748,0.9988889,0.0003232331,0.0006378999],"genre_scores_gemma":[0.0001505071,0.00003898326,0.0001915579,0.00004889749,0.000003768133,0.00004849796,0.9987856,0.0001458413,0.0005863778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8158551,"threshold_uncertainty_score":0.6160261,"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."}}