{"id":"W6943481857","doi":"10.15468/dl.jtskts","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; Matching (statistics); Range (aeronautics); The Internet; 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":[0.0009489486,0.002025008,0.001651322,0.004862122,0.001052874,0.002503326,0.002934839,0.00212322,0.1417564],"category_scores_gemma":[0.005907259,0.0009517723,0.001225647,0.01003518,0.0004646834,0.002380433,0.002517775,0.002021114,0.2003743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769016,"about_ca_system_score_gemma":0.002503267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02795711,"about_ca_topic_score_gemma":0.04264067,"domain_scores_codex":[0.9990022,0.0001331527,0.0001258787,0.0003447576,0.0002284441,0.0001656508],"domain_scores_gemma":[0.9976947,0.0006543714,0.0002145978,0.0005995159,0.0005661095,0.00027074],"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":[0.00003112801,0.00001162973,0.0003664437,0.0005318954,0.00001472262,0.00001628687,0.00002536246,0.0001338307,0.0001235061,0.0003913968,0.9969555,0.001398387],"study_design_scores_gemma":[0.00007649964,0.000008236691,0.001929207,0.0001855624,0.00001413598,0.00003929572,0.00008134959,0.0001717878,0.0001956033,0.0007103008,0.99657,0.0000180077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004783644,0.00002773278,0.00004684374,0.00003930219,0.00001189853,0.000005330602,0.9987626,0.0004256094,0.0006329402],"genre_scores_gemma":[0.0001615238,0.0000330173,0.0001975056,0.00004188963,0.00000300844,0.00004048472,0.998939,0.0001472396,0.0004364157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8582436,"threshold_uncertainty_score":0.4742222,"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."}}