{"id":"W6924616463","doi":"10.15468/dl.kpxcnq","title":"Occurrence Download","year":2015,"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":[0.00102011,0.001969885,0.001666102,0.005786358,0.0009382247,0.002652301,0.002858168,0.00196233,0.1547293],"category_scores_gemma":[0.006072023,0.0009064747,0.001206841,0.0115049,0.0004320356,0.00234155,0.002742847,0.001978013,0.2240578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649711,"about_ca_system_score_gemma":0.002596406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333691,"about_ca_topic_score_gemma":0.0388242,"domain_scores_codex":[0.9988316,0.0001540351,0.0001528902,0.000386962,0.0002747099,0.0001999009],"domain_scores_gemma":[0.9974954,0.0006338673,0.0002590021,0.0006505125,0.0006605348,0.0003006581],"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":[0.00002919787,0.000009924491,0.0003601612,0.0005556697,0.00001682964,0.0000122114,0.00002126894,0.0001111996,0.000105883,0.0003715519,0.9969966,0.001409522],"study_design_scores_gemma":[0.00006748851,0.000007833244,0.00190887,0.0002066874,0.00001577363,0.00003316568,0.00006275527,0.0001157436,0.0001747355,0.0006943358,0.996696,0.00001671454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003685477,0.00003151255,0.00003780839,0.00003112668,0.00001020433,0.000004612989,0.9989212,0.0003188482,0.0006078769],"genre_scores_gemma":[0.0001383064,0.00003687134,0.0001519484,0.00004093279,0.0000031644,0.0000313472,0.9990569,0.0001159294,0.0004246013],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8452707,"threshold_uncertainty_score":0.517621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}