{"id":"W4396050162","doi":"10.15468/dl.dyazcv","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":[0.0008507635,0.00222882,0.00165991,0.005259647,0.001013936,0.002456571,0.003119132,0.002136683,0.1146477],"category_scores_gemma":[0.00476258,0.0008179453,0.001223111,0.009847196,0.0004625974,0.002193226,0.002518872,0.002065136,0.1975334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631529,"about_ca_system_score_gemma":0.002397941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02551075,"about_ca_topic_score_gemma":0.04466243,"domain_scores_codex":[0.9989755,0.000131401,0.0001315302,0.0003290947,0.0002539477,0.0001786234],"domain_scores_gemma":[0.9980574,0.0004565608,0.0001739999,0.0005127468,0.0005608558,0.0002383994],"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":[0.00002876375,0.00001430925,0.0003670954,0.0004540989,0.00001504826,0.00001812986,0.00002143518,0.0001429176,0.000114828,0.0003655642,0.996983,0.00147475],"study_design_scores_gemma":[0.00007414027,0.000008613871,0.001784066,0.0001655055,0.00001381346,0.00004425877,0.00007569375,0.000214497,0.0002068611,0.0006808314,0.9967147,0.00001711616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005849372,0.00003474895,0.00005236652,0.00003484452,0.00001344065,0.000006346475,0.9986843,0.0004609465,0.0006544199],"genre_scores_gemma":[0.0001403609,0.00003001193,0.0001595869,0.00002952219,0.000002863408,0.0000286621,0.9991652,0.00009967095,0.0003442164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8853523,"threshold_uncertainty_score":0.3835347,"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."}}