{"id":"W6961881177","doi":"10.15468/dl.p29bx4","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); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0008502331,0.001981453,0.00153119,0.005052176,0.0009618294,0.0025276,0.002674317,0.001886243,0.1560811],"category_scores_gemma":[0.005401272,0.0009099568,0.001118538,0.01014545,0.0004167193,0.002330889,0.002438327,0.001815851,0.2259739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147381,"about_ca_system_score_gemma":0.002200666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938477,"about_ca_topic_score_gemma":0.03571851,"domain_scores_codex":[0.9990017,0.0001314226,0.0001278866,0.0003570155,0.0002155665,0.000166454],"domain_scores_gemma":[0.9977413,0.0005897431,0.0002194178,0.0005831581,0.0006071651,0.0002591122],"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":[0.00003211127,0.00001119684,0.0004037822,0.0005460972,0.00001394228,0.00001498834,0.00002145118,0.0001151398,0.0001305585,0.0003877465,0.9967841,0.001538836],"study_design_scores_gemma":[0.00006045434,0.000007986836,0.001734914,0.000163289,0.00001264722,0.00003443904,0.00005853565,0.0001196853,0.0001802857,0.0007255292,0.9968854,0.00001688838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004544564,0.00002904399,0.00004248408,0.00003037254,0.00001147496,0.000004657913,0.9987709,0.000336648,0.0007289018],"genre_scores_gemma":[0.0001581942,0.00003439999,0.0001894634,0.00004235753,0.000003558029,0.00003659322,0.9988745,0.0001363658,0.000524656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439189,"threshold_uncertainty_score":0.5221432,"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."}}