{"id":"W6887255184","doi":"10.15468/dl.ws9h93","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); Range (aeronautics); State (computer science); The Internet","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":[0.0008977709,0.002072262,0.001630171,0.005002392,0.001171899,0.002663055,0.003042923,0.002299098,0.1568273],"category_scores_gemma":[0.005671634,0.0009589434,0.001401602,0.009598386,0.0004701463,0.002466696,0.002644213,0.002121354,0.2345554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588667,"about_ca_system_score_gemma":0.002420129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01969502,"about_ca_topic_score_gemma":0.03427653,"domain_scores_codex":[0.9989657,0.0001428991,0.0001299426,0.0003733522,0.0002115998,0.0001764284],"domain_scores_gemma":[0.997801,0.0006044533,0.0001841555,0.0006142118,0.0005410346,0.0002550541],"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":[0.00002892353,0.00001238727,0.0003925973,0.0006151712,0.00001528383,0.00001783459,0.00002296239,0.0001214612,0.000124868,0.0003417406,0.996705,0.001601813],"study_design_scores_gemma":[0.00007428878,0.000009435332,0.001780386,0.0002074077,0.00001622032,0.00004994672,0.00007448124,0.0001830397,0.0002042343,0.000770409,0.9966123,0.00001778225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005807638,0.00004537098,0.00005830024,0.00004592572,0.00001713571,0.000007343716,0.9983975,0.0005520464,0.0008182003],"genre_scores_gemma":[0.0001670751,0.00004124501,0.0002151261,0.00005411729,0.000004022302,0.00004678466,0.9988185,0.0001520769,0.0005009869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8431727,"threshold_uncertainty_score":0.5246397,"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."}}