{"id":"W4396262514","doi":"10.15468/dl.jwrj4f","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; 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":[0.0008336214,0.002311699,0.001770001,0.005626246,0.001094461,0.002775993,0.003063137,0.002312556,0.1161257],"category_scores_gemma":[0.005235565,0.000864126,0.001521012,0.0102321,0.0004127228,0.002891706,0.002619118,0.002090386,0.2032807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837787,"about_ca_system_score_gemma":0.002385247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459183,"about_ca_topic_score_gemma":0.03981331,"domain_scores_codex":[0.9987916,0.0001431197,0.0001753719,0.0004096718,0.0002768173,0.0002033939],"domain_scores_gemma":[0.9978993,0.000471072,0.0001868112,0.0005676579,0.0006396151,0.0002355055],"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":[0.00004626099,0.00001712153,0.0005251496,0.0006779594,0.00001841106,0.000025579,0.00002708569,0.00015826,0.0001517674,0.0004414789,0.9956325,0.002278405],"study_design_scores_gemma":[0.00006709962,0.000009911172,0.001873496,0.0001919142,0.00001356235,0.00005285729,0.00008444896,0.0002478441,0.0002055752,0.0006791987,0.9965564,0.00001778349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007095159,0.00004877315,0.00006446596,0.00004575403,0.00001712278,0.00000793023,0.998239,0.0006731609,0.0008327571],"genre_scores_gemma":[0.0001628219,0.00004246695,0.0002246553,0.00004200984,0.000003670499,0.00003389292,0.9989206,0.0001280328,0.0004419456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8838742,"threshold_uncertainty_score":0.3884794,"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."}}