{"id":"W6887240360","doi":"10.15468/dl.vcvem0","title":"Occurrence Download","year":2018,"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","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":[0.001056103,0.001933447,0.001628965,0.005691431,0.001001236,0.002723671,0.002906322,0.001985258,0.155767],"category_scores_gemma":[0.006366031,0.0009064219,0.001187641,0.01106056,0.0004548045,0.002436518,0.002869802,0.00205795,0.2252753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668077,"about_ca_system_score_gemma":0.00264997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0238959,"about_ca_topic_score_gemma":0.04175538,"domain_scores_codex":[0.9988191,0.000153754,0.0001573147,0.0003901698,0.0002744069,0.000205243],"domain_scores_gemma":[0.9971743,0.0007026509,0.0002772021,0.00074451,0.0007524399,0.0003488997],"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":[0.0000275859,0.000009990133,0.0003625938,0.000522158,0.0000145885,0.00001296259,0.00002214008,0.00009915041,0.00009809196,0.0003571557,0.9971522,0.001321477],"study_design_scores_gemma":[0.00006809988,0.000007424265,0.001824778,0.0001929459,0.00001377882,0.0000329069,0.00006539684,0.0001171166,0.0001550983,0.0007056893,0.9968007,0.00001621033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003626462,0.00002626911,0.00003724337,0.00003329606,0.00001100822,0.000004988709,0.9989341,0.0003244856,0.0005923092],"genre_scores_gemma":[0.0001361013,0.00003370771,0.0001679233,0.00004174265,0.000003548318,0.00003522728,0.9990231,0.0001256148,0.0004330169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.844233,"threshold_uncertainty_score":0.5210924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}