{"id":"W6924778299","doi":"10.15468/dl.qrbw5m","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001122023,0.0001647673,0.0002281249,0.0001143576,0.001462821,0.0001793152,0.0006357669,0.0001756434,0.133017],"category_scores_gemma":[0.0004078738,0.0001849136,0.0002154876,0.0007234483,0.0002581916,0.0007006694,0.000353523,0.0002749473,0.04087117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161082,"about_ca_system_score_gemma":0.0004629139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00710432,"about_ca_topic_score_gemma":0.0002744644,"domain_scores_codex":[0.997787,0.0004406769,0.0003119621,0.0001898026,0.001012746,0.0002578311],"domain_scores_gemma":[0.9989488,0.00008662599,0.0002950333,0.0002469934,0.0002609343,0.0001616454],"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":[0.00001578044,0.00002864305,0.0004552379,0.00002265022,0.00003265584,0.00000128462,0.0003386259,0.00004351488,1.501596e-9,0.000002822458,0.9936992,0.005359569],"study_design_scores_gemma":[0.0001147311,0.00001250365,0.00005543161,4.048037e-7,0.00005831073,4.927444e-7,0.001071553,1.336211e-7,4.165868e-8,0.00001416395,0.9984767,0.0001954998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008181087,0.00002140633,0.00001737573,0.000464209,0.0006809927,0.000195437,0.9975226,0.00007352835,0.0009426262],"genre_scores_gemma":[0.000005694176,0.00008384609,0.000004565179,0.0004681977,0.000003010864,0.00000453436,0.9994293,6.147629e-9,8.124974e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0921458,"threshold_uncertainty_score":0.9998372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034390787589907,"score_gpt":0.2976054888939758,"score_spread":0.2672615810180767,"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."}}