{"id":"W6962023608","doi":"10.15468/dl.kdajt6","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); Data set; 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":[0.0009402426,0.001999226,0.001558547,0.004622795,0.0009346358,0.002420644,0.002743833,0.00200321,0.1493875],"category_scores_gemma":[0.005628156,0.0009390734,0.001177679,0.009402085,0.000439352,0.002171558,0.002480522,0.00196548,0.2048406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581127,"about_ca_system_score_gemma":0.002257205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02365107,"about_ca_topic_score_gemma":0.03630006,"domain_scores_codex":[0.9990668,0.0001230405,0.0001160331,0.0003231257,0.0002098267,0.0001612469],"domain_scores_gemma":[0.9978309,0.0006178457,0.00020578,0.0005823063,0.0005105751,0.0002526389],"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":[0.00002995659,0.00001115674,0.000408146,0.0005367534,0.00001612132,0.00001568903,0.00002619597,0.0001491047,0.0001299167,0.0004055793,0.996794,0.001477389],"study_design_scores_gemma":[0.00007609778,0.000008049436,0.001998341,0.0001872433,0.00001520396,0.00003878722,0.00007473367,0.000178022,0.0002079575,0.000780991,0.9964163,0.00001827285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004188151,0.00002460942,0.00004585585,0.00003222856,0.00001099437,0.000004683014,0.9988692,0.0004099964,0.0005605326],"genre_scores_gemma":[0.0001621709,0.00003004143,0.0001964312,0.00004011405,0.000003029609,0.00003756038,0.9989898,0.0001572054,0.0003836319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506125,"threshold_uncertainty_score":0.4997509,"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."}}