{"id":"W6924921740","doi":"10.15468/dl.vt9km7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000259535,0.0002012801,0.0003120397,0.00008498235,0.0002234877,0.00004385612,0.0003661258,0.0003345409,0.1887608],"category_scores_gemma":[0.0003721512,0.0001796726,0.0001896689,0.0004520891,0.0002897414,0.000226042,0.0006424208,0.0007734197,0.0869206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285941,"about_ca_system_score_gemma":0.0003445007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003154416,"about_ca_topic_score_gemma":0.000001439822,"domain_scores_codex":[0.9978619,0.00004082797,0.0003261327,0.0002150073,0.001222781,0.0003333021],"domain_scores_gemma":[0.9987952,0.00002642122,0.0001239637,0.0004354422,0.0001946652,0.0004243178],"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":[0.0002263818,0.0001114338,0.0004598232,0.0004505619,0.00004273447,0.00001321462,0.00001042611,9.877058e-8,3.509149e-7,3.265325e-8,0.995061,0.003623891],"study_design_scores_gemma":[0.0006285202,0.0001199171,0.0000693398,0.000002849107,0.00006767164,0.00001958758,0.00008237253,5.537342e-8,0.000007591338,6.533546e-7,0.9988392,0.0001622282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004565052,0.00003479106,6.32604e-7,0.001010544,0.0002340082,0.0003107617,0.9976124,0.00006160479,0.0002787603],"genre_scores_gemma":[0.000007391181,0.0001408852,6.358457e-7,0.001485085,0.000001961335,0.000007329733,0.998356,1.017483e-8,7.003832e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1018403,"threshold_uncertainty_score":0.9137903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358343866178237,"score_gpt":0.2689055240188922,"score_spread":0.2453220853571099,"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."}}