{"id":"W6924782107","doi":"10.15468/dl.6wsqq2","title":"Occurrence Download","year":2024,"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; Listing (finance); Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.001093641,0.002002812,0.001682033,0.005129333,0.001143525,0.002695523,0.003011372,0.002101063,0.1787557],"category_scores_gemma":[0.006705226,0.001038951,0.001268978,0.008774413,0.0004874397,0.002405185,0.00303881,0.002142578,0.2386585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184118,"about_ca_system_score_gemma":0.002785746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326596,"about_ca_topic_score_gemma":0.04061182,"domain_scores_codex":[0.9989547,0.0001253723,0.0001265537,0.0003641514,0.0002452956,0.0001838715],"domain_scores_gemma":[0.9973687,0.0007064545,0.0002426671,0.0007084266,0.0006654509,0.0003082665],"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":[0.00002607784,0.000009644406,0.0003595109,0.0005202335,0.0000143088,0.00001391979,0.00002314981,0.0001042397,0.0001195358,0.0004251962,0.9969879,0.001396177],"study_design_scores_gemma":[0.00006387823,0.00000660216,0.001666295,0.0002131818,0.00001488444,0.00003462499,0.00006187543,0.0001313141,0.0002028297,0.0008504562,0.9967365,0.00001746112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002962721,0.00002183678,0.00004605908,0.00003158752,0.00001061603,0.000005276901,0.9988303,0.0004008564,0.0006238504],"genre_scores_gemma":[0.0001424547,0.00003147948,0.000233863,0.00004811354,0.000003080725,0.00004523579,0.9988468,0.0001841942,0.0004647766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8212443,"threshold_uncertainty_score":0.5979974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}