{"id":"W6924601860","doi":"10.15468/dl.uuaedh","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Material Selection and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Extant taxon; Download; Vascular plant; Matching (statistics); State (computer science)","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":[0.000942792,0.002688203,0.002250253,0.006637019,0.00117232,0.003774942,0.00271364,0.002000147,0.4129428],"category_scores_gemma":[0.006635108,0.00111413,0.001825284,0.009532209,0.0003865384,0.003705284,0.00389584,0.002049499,0.5041007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438375,"about_ca_system_score_gemma":0.00253779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01881367,"about_ca_topic_score_gemma":0.02858287,"domain_scores_codex":[0.9987934,0.000139374,0.0001732668,0.0004433132,0.000254667,0.0001959455],"domain_scores_gemma":[0.9971855,0.0007562984,0.0001985931,0.0007512893,0.0007252921,0.0003830046],"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":[0.00004690507,0.0000127975,0.0002324505,0.0005046841,0.00001292132,0.00001708696,0.00002522075,0.0001010138,0.00009254659,0.0004146041,0.9954667,0.003072996],"study_design_scores_gemma":[0.0000847909,0.0000135352,0.001138131,0.0001566216,0.00001695837,0.00004214585,0.00008146209,0.0002741528,0.000186085,0.001412002,0.9965689,0.00002511827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000545182,0.00005074274,0.0001738872,0.00006706294,0.00003620822,0.00001547335,0.9943082,0.002631715,0.002662302],"genre_scores_gemma":[0.0002603872,0.00007757985,0.0007321017,0.0001142487,0.00001216892,0.00008165748,0.9958241,0.0008519943,0.002045756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5870572,"threshold_uncertainty_score":0.8373658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869232554309487,"score_gpt":0.2156637980724366,"score_spread":0.1969714725293417,"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."}}