{"id":"W6887008100","doi":"10.15468/dl.ndj6j8","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); 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":[0.001014272,0.002048621,0.001624317,0.00469418,0.001036414,0.002537057,0.002917694,0.00216569,0.1518874],"category_scores_gemma":[0.005973763,0.0009382037,0.00124783,0.009378837,0.0004522328,0.002287816,0.002645343,0.002069023,0.2202058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647295,"about_ca_system_score_gemma":0.002416505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208444,"about_ca_topic_score_gemma":0.03508973,"domain_scores_codex":[0.9989414,0.0001398638,0.0001341711,0.0003649996,0.00024218,0.0001774106],"domain_scores_gemma":[0.9976299,0.0006597298,0.0002160553,0.0006363156,0.0005803435,0.0002776166],"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":[0.00003040545,0.00001186859,0.0003752277,0.0005196382,0.00001482216,0.00001546019,0.00002544753,0.0001229036,0.0001288475,0.0003953894,0.9969869,0.001373093],"study_design_scores_gemma":[0.00007272774,0.000007982161,0.001757864,0.0001898595,0.00001417758,0.00003843936,0.00007447451,0.0001607331,0.0002174152,0.0007702778,0.9966782,0.00001789131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004223607,0.00002670437,0.00004913649,0.00003542383,0.00001224409,0.000005628453,0.9987622,0.0004267548,0.0006396407],"genre_scores_gemma":[0.0001558017,0.0000311637,0.0002041226,0.00004343635,0.000003104278,0.00004252612,0.9989434,0.0001600744,0.0004164181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8481126,"threshold_uncertainty_score":0.508114,"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."}}