{"id":"W6925173897","doi":"10.15468/dl.yaqyuk","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Apidae; Synapomorphy; Matching (statistics)","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":["insufficient_payload"],"category_scores_codex":[0.0007969675,0.002634382,0.002235133,0.006650339,0.00128978,0.003688112,0.002558923,0.002466564,0.3384981],"category_scores_gemma":[0.005556817,0.0009703809,0.001850039,0.01054262,0.0004029891,0.003345997,0.003710499,0.002133581,0.4345625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571917,"about_ca_system_score_gemma":0.002649152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02202257,"about_ca_topic_score_gemma":0.03626097,"domain_scores_codex":[0.9988084,0.0001331243,0.000168352,0.0004336501,0.0002530299,0.0002034916],"domain_scores_gemma":[0.9977148,0.0005912664,0.0001700734,0.0005812182,0.000608892,0.0003338824],"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":[0.00005232812,0.00001710503,0.0003010535,0.0006695972,0.0000149021,0.00002318946,0.00002908477,0.0001234527,0.0001217254,0.0004914078,0.9943734,0.003782698],"study_design_scores_gemma":[0.00007678514,0.00001193811,0.001234471,0.0001739545,0.00001540782,0.00004612047,0.00007926436,0.0002706353,0.000149969,0.001052816,0.9968658,0.00002281756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006148921,0.00006684834,0.0001247819,0.00006316224,0.0000341354,0.00001288594,0.9955798,0.001797444,0.002259527],"genre_scores_gemma":[0.0002500695,0.00008555665,0.0005951548,0.0001037641,0.000009835744,0.0000567239,0.9969741,0.0004599397,0.001464849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6615019,"threshold_uncertainty_score":0.9435521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07232802384225913,"score_gpt":0.3153441474305153,"score_spread":0.2430161235882561,"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."}}