{"id":"W4395366076","doi":"10.15468/dl.58l0hz","title":"Occurrence Download","year":2018,"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; Computer science; World Wide Web","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":[0.0008965656,0.002260308,0.001652906,0.005580568,0.001071832,0.002567062,0.00304209,0.002104684,0.1232185],"category_scores_gemma":[0.004998145,0.0008405361,0.001280037,0.01007161,0.0004462656,0.002404271,0.002727855,0.00212749,0.2103842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631221,"about_ca_system_score_gemma":0.002328413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0254712,"about_ca_topic_score_gemma":0.04460364,"domain_scores_codex":[0.9988632,0.0001427586,0.0001509765,0.0003631538,0.0002843302,0.0001955567],"domain_scores_gemma":[0.9978199,0.0004730551,0.0001901085,0.0006101633,0.0006493732,0.0002574445],"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":[0.00003014773,0.00001386049,0.0003312362,0.0004426847,0.00001416933,0.00001686565,0.00002018194,0.0001161556,0.0001186711,0.0003328194,0.9969626,0.001600668],"study_design_scores_gemma":[0.00006387092,0.000008618397,0.001748829,0.0001535794,0.0000124084,0.00004082187,0.00006575031,0.0001757993,0.0001937796,0.0006008847,0.9969199,0.00001586329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000559696,0.00003284574,0.00004860789,0.0000358634,0.00001363375,0.000006921392,0.9985839,0.0004995607,0.0007226752],"genre_scores_gemma":[0.0001339623,0.00003014087,0.0001695669,0.00003448662,0.000003141533,0.00003037293,0.999115,0.0001102479,0.0003730562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8767815,"threshold_uncertainty_score":0.4122071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118603207408897,"score_gpt":0.210601984276964,"score_spread":0.1987416635360743,"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."}}