{"id":"W6905712692","doi":"10.15468/dl.mwum5s","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); Alien; 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":[0.001033547,0.001973214,0.001613604,0.005059439,0.001070408,0.002633086,0.002893541,0.002253462,0.144454],"category_scores_gemma":[0.006308084,0.0008906964,0.001282266,0.009513576,0.000456548,0.002411743,0.002565053,0.002097592,0.2135212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630034,"about_ca_system_score_gemma":0.002393259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129314,"about_ca_topic_score_gemma":0.03489443,"domain_scores_codex":[0.9988664,0.0001551326,0.0001417935,0.0003937786,0.0002557976,0.0001870423],"domain_scores_gemma":[0.9972856,0.0007689367,0.0002409058,0.0007344151,0.000671241,0.0002989573],"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":[0.00003003629,0.00001291244,0.0004107567,0.0005104504,0.0000141032,0.0000162534,0.00002305276,0.0001270189,0.0001193129,0.0003696576,0.9969043,0.001462189],"study_design_scores_gemma":[0.00007160095,0.00000954339,0.00203994,0.0002048545,0.00001430837,0.00004115632,0.00008213913,0.0001701328,0.0002025501,0.0008319587,0.9963123,0.00001935514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004766633,0.00002760276,0.00004555902,0.00004058593,0.00001318791,0.000005956203,0.998763,0.0004119484,0.0006444218],"genre_scores_gemma":[0.0001609162,0.00003160707,0.0002040088,0.00004514641,0.000003492591,0.00004220842,0.9989423,0.0001342796,0.0004359685],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8555459,"threshold_uncertainty_score":0.4832469,"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."}}