{"id":"W6962453211","doi":"10.15468/dl.kr47ti","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; 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":[0.0009802203,0.00185739,0.001561632,0.005203157,0.0009870125,0.002638964,0.002770216,0.001895639,0.1640299],"category_scores_gemma":[0.005854214,0.0008683777,0.001194444,0.01043379,0.000442846,0.002187708,0.002648687,0.00188448,0.2236635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561982,"about_ca_system_score_gemma":0.00249185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424045,"about_ca_topic_score_gemma":0.03992772,"domain_scores_codex":[0.9988907,0.0001428358,0.0001560386,0.0003741705,0.0002499772,0.0001864291],"domain_scores_gemma":[0.9975873,0.0006521695,0.0002304871,0.0006382777,0.0006145704,0.0002771963],"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":[0.00002905344,0.000009838474,0.0003966763,0.0005253733,0.00001600107,0.00001517732,0.00002449545,0.0001169068,0.0001195505,0.0004007478,0.9968838,0.001462365],"study_design_scores_gemma":[0.00006318686,0.000007186521,0.001975757,0.0001919467,0.00001506564,0.00003845808,0.00007288678,0.0001279285,0.0001903852,0.0007246231,0.9965751,0.00001746127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003736528,0.0000255923,0.00004241453,0.00003152034,0.00001127454,0.000004413646,0.9989004,0.0003342346,0.0006127376],"genre_scores_gemma":[0.0001510729,0.00003171814,0.0001648291,0.00003907333,0.000003105472,0.00003277004,0.9990103,0.0001293169,0.0004378769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359701,"threshold_uncertainty_score":0.5487346,"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."}}