{"id":"W4398327427","doi":"10.7910/dvn/bh43df/fcvtfk","title":"metadata.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; XML; World Wide Web; Computer science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001906892,0.003674706,0.001851327,0.00788864,0.001285255,0.004880104,0.004562801,0.003361684,0.2446596],"category_scores_gemma":[0.009973866,0.001624385,0.001600066,0.0105141,0.0007426232,0.005439647,0.004891639,0.003118369,0.2968632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266558,"about_ca_system_score_gemma":0.003459511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02533657,"about_ca_topic_score_gemma":0.02581891,"domain_scores_codex":[0.9982133,0.0002698449,0.0003370766,0.0004532717,0.0004643647,0.0002621192],"domain_scores_gemma":[0.9964666,0.0008753201,0.0002480866,0.001363033,0.000677185,0.0003697213],"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":[0.00005228629,0.00001678292,0.0002597686,0.0005568233,0.00002161791,0.00001919882,0.00003380105,0.000189626,0.0002157681,0.0022145,0.992976,0.003443751],"study_design_scores_gemma":[0.00009911897,0.00000793929,0.0006810568,0.0001984936,0.00001208448,0.0000297423,0.00004388942,0.0003372079,0.0005746258,0.003043626,0.9949461,0.00002626001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004843202,0.00003266204,0.0003005158,0.00009371053,0.00002833606,0.00001603984,0.9941,0.003265475,0.002114721],"genre_scores_gemma":[0.0003009148,0.00006629393,0.0005073452,0.00008813514,0.000007297269,0.00005725008,0.9969265,0.001018549,0.001027747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7553403,"threshold_uncertainty_score":0.8184681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530049666497403,"score_gpt":0.2273326220585267,"score_spread":0.2120321253935526,"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."}}