{"id":"W6905917623","doi":"10.15468/dl.ytu34u","title":"Occurrence Download","year":2022,"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); Alien; 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":[0.0009395392,0.001948006,0.001507141,0.004664509,0.0009878827,0.00246942,0.002631878,0.002049823,0.1436375],"category_scores_gemma":[0.00583972,0.0008644727,0.001235643,0.008838666,0.0004295605,0.002380265,0.002452293,0.001930441,0.2139815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001487062,"about_ca_system_score_gemma":0.002201187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126355,"about_ca_topic_score_gemma":0.03437935,"domain_scores_codex":[0.9989913,0.0001424024,0.000125544,0.000360603,0.0002151381,0.0001649244],"domain_scores_gemma":[0.997503,0.0006987111,0.0002175912,0.0006728432,0.0006326323,0.0002752741],"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":[0.00002852348,0.00001272679,0.0004308866,0.0004964706,0.00001387178,0.00001547431,0.00002289885,0.0001295398,0.0001101207,0.0003352305,0.9969337,0.00147056],"study_design_scores_gemma":[0.00007391882,0.000009827254,0.002172714,0.0001991545,0.00001434707,0.00003936225,0.00008550701,0.0001945935,0.0001954225,0.0007937846,0.9962028,0.00001853092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005403345,0.00002976592,0.00004883415,0.00004332436,0.00001475389,0.00000630997,0.998673,0.0004640034,0.0006661433],"genre_scores_gemma":[0.0001792125,0.00003303074,0.0002070913,0.00004776792,0.000004064492,0.00004413347,0.9988769,0.000144563,0.0004633333],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563625,"threshold_uncertainty_score":0.4805152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}