{"id":"W4396492992","doi":"10.15468/dl.hco8xs","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Mathematics; Computer science; Operating system","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":[0.0008637736,0.002132253,0.001553056,0.005873925,0.0009378863,0.002371955,0.002724577,0.00192257,0.1131469],"category_scores_gemma":[0.004863511,0.0007828208,0.001188001,0.009757389,0.0004400409,0.002301134,0.00268339,0.001857158,0.1942722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594799,"about_ca_system_score_gemma":0.002313911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271342,"about_ca_topic_score_gemma":0.04099345,"domain_scores_codex":[0.9989091,0.0001393019,0.0001433712,0.000347866,0.0002649614,0.0001954169],"domain_scores_gemma":[0.9979137,0.0004463507,0.0001982443,0.000565192,0.0006119704,0.0002646797],"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":[0.00003183922,0.00001331521,0.000425023,0.0004778343,0.0000160472,0.000020002,0.00002178102,0.0001311865,0.0001292099,0.0003734131,0.9966953,0.001665073],"study_design_scores_gemma":[0.00006544359,0.00000954067,0.002045561,0.0001691679,0.00001315094,0.0000489347,0.00007555743,0.0001962822,0.0002155619,0.0006515126,0.9964932,0.00001611106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006843887,0.00003709552,0.00005043234,0.00003577662,0.00001394392,0.000007134984,0.9985844,0.0004989139,0.0007038502],"genre_scores_gemma":[0.0001587983,0.00003153754,0.0001586157,0.00003249515,0.000003263457,0.00002870012,0.9991378,0.0001036911,0.0003450947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8868531,"threshold_uncertainty_score":0.3785142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484481337130455,"score_gpt":0.2284793506544914,"score_spread":0.2136345372831868,"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."}}