{"id":"W6924912907","doi":"10.15468/dl.mdxvb3","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001013418,0.001691434,0.001444078,0.00539845,0.00101922,0.002608322,0.002553983,0.001964013,0.1448858],"category_scores_gemma":[0.005957804,0.0007748363,0.001009823,0.01103051,0.0004965909,0.001945415,0.002517862,0.001905937,0.197475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648017,"about_ca_system_score_gemma":0.002385537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02303744,"about_ca_topic_score_gemma":0.04108801,"domain_scores_codex":[0.9989698,0.0001528494,0.0001351365,0.0003274943,0.0002480326,0.0001666141],"domain_scores_gemma":[0.9975854,0.000704969,0.0002413488,0.0005980148,0.0005879792,0.0002823486],"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":[0.00002689095,0.00001116325,0.0004113894,0.0005261583,0.00001234758,0.00001693979,0.00002966769,0.000112204,0.00009400475,0.0004840005,0.9966527,0.001622616],"study_design_scores_gemma":[0.00005393163,0.000006486375,0.001776878,0.0002034059,0.000009985734,0.00003387382,0.00008739821,0.0001047454,0.0001348824,0.0006902739,0.9968843,0.00001388679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004637821,0.00003089888,0.0000405692,0.00003595346,0.0000110972,0.000005044781,0.9989198,0.0002332885,0.0006769079],"genre_scores_gemma":[0.000164318,0.00003898219,0.0001896125,0.0000394414,0.000003498307,0.00004317956,0.9988726,0.00009525273,0.0005532054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8551142,"threshold_uncertainty_score":0.4846913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03162350831198923,"score_gpt":0.2263609633541191,"score_spread":0.1947374550421298,"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."}}