{"id":"W6887216344","doi":"10.15468/dl.v6xyk7","title":"Occurrence Download","year":2023,"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); Data collection; Statistical analysis; Task (project management)","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":[0.0009505615,0.001936965,0.001602058,0.004785226,0.0009889775,0.00241949,0.002845796,0.002145796,0.1341082],"category_scores_gemma":[0.005552879,0.000869488,0.001200489,0.009343047,0.0004455124,0.002186237,0.002507476,0.00198238,0.1986506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631057,"about_ca_system_score_gemma":0.002320732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02250479,"about_ca_topic_score_gemma":0.03763863,"domain_scores_codex":[0.9990014,0.0001302416,0.0001266715,0.0003420835,0.0002309624,0.0001686195],"domain_scores_gemma":[0.9978175,0.0005794909,0.0002123318,0.0005880846,0.0005514148,0.000251115],"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":[0.0000302975,0.00001224666,0.0004213942,0.0005278934,0.00001556874,0.00001676151,0.00002600385,0.0001449809,0.0001320534,0.0004074075,0.9967232,0.001542192],"study_design_scores_gemma":[0.00007146502,0.000008311584,0.001916589,0.0001903342,0.00001431456,0.00004129996,0.00007739646,0.0001760255,0.0002051613,0.0007762384,0.9965047,0.0000181164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004733407,0.0000284156,0.00004741933,0.00003601752,0.00001205946,0.000005233694,0.9988177,0.0004093478,0.0005964917],"genre_scores_gemma":[0.0001628542,0.0000310666,0.0002085151,0.00004075551,0.000003159279,0.00003822632,0.9989803,0.0001356587,0.000399384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8658918,"threshold_uncertainty_score":0.4486365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}