{"id":"W4396290275","doi":"10.15468/dl.jdcnsh","title":"Occurrence Download","year":2016,"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; Geography; 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":[0.0007088728,0.002320443,0.001520979,0.0053162,0.0009487632,0.002424867,0.002896018,0.001874796,0.1131883],"category_scores_gemma":[0.004691494,0.0008482165,0.001318995,0.01033832,0.0004020427,0.002347918,0.002432214,0.001885724,0.1890645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751418,"about_ca_system_score_gemma":0.002487139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03042631,"about_ca_topic_score_gemma":0.05173481,"domain_scores_codex":[0.9989924,0.0001207859,0.000137549,0.0003450741,0.0002365089,0.0001677406],"domain_scores_gemma":[0.9982565,0.0003861424,0.0001568744,0.0004631809,0.0005206879,0.0002167257],"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":[0.00003484076,0.00001327472,0.0004057121,0.000473626,0.00001431981,0.00001853754,0.00002122953,0.0001302871,0.0001196066,0.0003987017,0.9964712,0.001898712],"study_design_scores_gemma":[0.0000643942,0.000008557365,0.001621779,0.0001381778,0.00001279868,0.00004862061,0.00006033069,0.0002123555,0.0001959409,0.0006605869,0.9969607,0.0000157525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007104346,0.00004414851,0.00005989351,0.00003909988,0.00001440927,0.000006663731,0.9982029,0.0006404257,0.000921344],"genre_scores_gemma":[0.0001597549,0.00004185215,0.0002088481,0.00003668812,0.0000029198,0.00002926598,0.9988621,0.0001412179,0.0005173606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8868117,"threshold_uncertainty_score":0.3786527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110856274208747,"score_gpt":0.2063939024612756,"score_spread":0.1953082750404009,"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."}}