{"id":"W6943275231","doi":"10.15468/dl.xeugny","title":"Occurrence Download","year":2019,"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); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008513802,0.001783171,0.001497899,0.004862846,0.001094184,0.002774978,0.00281619,0.002085787,0.1645318],"category_scores_gemma":[0.006096704,0.0008620675,0.00123695,0.009877407,0.0004205636,0.002756411,0.002579674,0.002084986,0.2294817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001796866,"about_ca_system_score_gemma":0.002397603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02398669,"about_ca_topic_score_gemma":0.04049544,"domain_scores_codex":[0.9989594,0.0001418121,0.0001332635,0.0003749058,0.000220027,0.0001705666],"domain_scores_gemma":[0.9977392,0.0006370866,0.0001835995,0.0005894587,0.0006057035,0.0002449014],"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":[0.00002849543,0.00001051654,0.0003571461,0.0005464779,0.00001268487,0.0000148531,0.00002351497,0.0001125723,0.00009908931,0.0004299583,0.9967344,0.001630232],"study_design_scores_gemma":[0.00005679486,0.000006772765,0.001365799,0.0001794803,0.0000113937,0.00003325295,0.00007135754,0.0001442137,0.0001444099,0.000797913,0.9971737,0.00001499557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004410151,0.00003683561,0.00005163921,0.00005045429,0.00001420912,0.000006111433,0.9984648,0.0004398951,0.0008920282],"genre_scores_gemma":[0.0001822736,0.00004814341,0.0002406204,0.0000598838,0.000004012738,0.00004588123,0.9986143,0.0001665941,0.0006383818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8354682,"threshold_uncertainty_score":0.5504138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}