{"id":"W6962466582","doi":"10.15468/dl.wturq0","title":"Occurrence Download","year":2019,"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; 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":[0.0006628272,0.002606601,0.00193016,0.006034652,0.001383735,0.003663867,0.002851787,0.002636571,0.2261987],"category_scores_gemma":[0.00611481,0.0009197264,0.001757222,0.009817977,0.0004217791,0.004308743,0.003413429,0.002290987,0.3497979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518158,"about_ca_system_score_gemma":0.002366122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963452,"about_ca_topic_score_gemma":0.0403767,"domain_scores_codex":[0.9987471,0.0001435586,0.0001777683,0.0004422995,0.0002875556,0.0002017324],"domain_scores_gemma":[0.9975927,0.0005699389,0.0001844281,0.0005829076,0.0007594196,0.0003105061],"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":[0.00004636105,0.00001540077,0.0004710589,0.0006489869,0.00001427319,0.00003239537,0.00002632487,0.000127083,0.0001164114,0.0004176598,0.994171,0.003912976],"study_design_scores_gemma":[0.0000462165,0.0000121885,0.001266482,0.0001904311,0.00001348812,0.00007666857,0.0001017068,0.0003149172,0.0001769534,0.001121141,0.9966586,0.00002116226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001277102,0.0001641175,0.0002024311,0.0001144306,0.00005419597,0.00001557632,0.993965,0.002192777,0.003163925],"genre_scores_gemma":[0.0004186458,0.0001209153,0.0006123245,0.0001150126,0.00001485764,0.00004515973,0.9967195,0.0004197271,0.001533903],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7738013,"threshold_uncertainty_score":0.7567101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}