{"id":"W6943509168","doi":"10.15468/dl.sunrzb","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); Order (exchange); Confidentiality","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":[0.001036302,0.001961247,0.001652599,0.005706897,0.001125503,0.002813288,0.00309881,0.002023471,0.16219],"category_scores_gemma":[0.006656803,0.0009169268,0.001250795,0.01120656,0.0004810076,0.00235519,0.002918259,0.002095358,0.2310185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001757251,"about_ca_system_score_gemma":0.002849094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02815078,"about_ca_topic_score_gemma":0.04661066,"domain_scores_codex":[0.9988573,0.000143909,0.0001475967,0.0003809339,0.0002725224,0.0001977265],"domain_scores_gemma":[0.9972928,0.0006991344,0.0002477263,0.0007173101,0.0007250115,0.000317954],"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":[0.00002435634,0.00001007569,0.0003743026,0.0004754525,0.00001449189,0.00001450034,0.00002695305,0.0001113816,0.00009870756,0.0003898868,0.997061,0.001398911],"study_design_scores_gemma":[0.000055985,0.000006471248,0.001762824,0.0001945727,0.00001370123,0.00003544026,0.00007927199,0.000129074,0.00016334,0.0007331469,0.9968099,0.00001631284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000411069,0.00002923602,0.00004710615,0.00003777812,0.00001294236,0.000005169187,0.998727,0.0004077934,0.0006918685],"genre_scores_gemma":[0.0001397004,0.00003199639,0.0001806818,0.00003747913,0.000003039878,0.00003593761,0.9989519,0.0001494654,0.0004698294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.83781,"threshold_uncertainty_score":0.5425797,"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."}}