{"id":"W4395246628","doi":"10.15468/dl.2bgcgk","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; 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":[0.000759937,0.002176547,0.001641017,0.005237328,0.001080467,0.002720809,0.002975915,0.002125092,0.1289737],"category_scores_gemma":[0.004975684,0.0008561772,0.001457323,0.009664679,0.0004351751,0.00248406,0.00260311,0.001968285,0.2151155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676395,"about_ca_system_score_gemma":0.002418115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474099,"about_ca_topic_score_gemma":0.04076071,"domain_scores_codex":[0.999017,0.0001171313,0.0001328589,0.0003329179,0.0002301654,0.0001697958],"domain_scores_gemma":[0.9981318,0.0004288332,0.0001487273,0.0005126708,0.0005689339,0.0002090623],"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":[0.00003510722,0.00001369182,0.0004266424,0.0006060335,0.00001694976,0.00002016846,0.0000255913,0.0001501666,0.0001320887,0.0003984413,0.9959848,0.002190364],"study_design_scores_gemma":[0.00006026216,0.00000857839,0.001624844,0.0001803896,0.00001291082,0.00004341808,0.00007590374,0.0002183562,0.0001836344,0.0006587132,0.9969171,0.00001588486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006711479,0.0000478049,0.00006498174,0.00004478243,0.00001793866,0.00000756361,0.9981964,0.0007103187,0.0008430647],"genre_scores_gemma":[0.0001571299,0.00004291666,0.0002198835,0.00004007363,0.000003478045,0.00003306228,0.9988908,0.000148983,0.0004635586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8710263,"threshold_uncertainty_score":0.4314601,"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."}}