{"id":"W6887056487","doi":"10.15468/dl.krh86h","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); Alien; Range (aeronautics)","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":[0.001048333,0.001937936,0.001607161,0.005186393,0.0009933695,0.002582174,0.002808636,0.002103596,0.1573199],"category_scores_gemma":[0.006153374,0.0009052524,0.001202712,0.01005433,0.0004546215,0.002295051,0.00250975,0.002045874,0.218123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620921,"about_ca_system_score_gemma":0.002397625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02162799,"about_ca_topic_score_gemma":0.0351138,"domain_scores_codex":[0.9989215,0.0001469525,0.0001376371,0.0003714609,0.0002428976,0.000179567],"domain_scores_gemma":[0.9973696,0.0007817885,0.0002485052,0.0006684751,0.0006325411,0.000299058],"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":[0.0000284686,0.00001172659,0.000357636,0.0005311914,0.00001462538,0.00001406212,0.00002265913,0.0001217332,0.0001130716,0.0003736537,0.9970323,0.001378873],"study_design_scores_gemma":[0.0000712551,0.000008455997,0.001918659,0.0002052265,0.00001489813,0.00003563912,0.00007303605,0.0001457145,0.0001958918,0.0007884573,0.996525,0.00001777673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003947076,0.00002620008,0.00004161487,0.00003489287,0.00001170442,0.000005125538,0.9988949,0.0003396923,0.0006064924],"genre_scores_gemma":[0.0001522402,0.00003267404,0.0001805732,0.00004392313,0.0000034062,0.00004154908,0.9989489,0.000136969,0.0004598415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426801,"threshold_uncertainty_score":0.5262874,"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."}}