{"id":"W2807985678","doi":"10.4018/ijaeis.2018070106","title":"Decision Support for Agricultural Consultants With Semantic Data Federation","year":2018,"lang":"en","type":"article","venue":"International Journal of Agricultural and Environmental Information Systems","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Workflow; Software deployment; Variety (cybernetics); Analytics; World Wide Web; Data science; Database; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.006919201,0.0006934283,0.000864396,0.001963346,0.002171538,0.005512538,0.001704267,0.001491834,0.006559049],"category_scores_gemma":[0.01198102,0.0004876855,0.000885607,0.002893803,0.0009354941,0.004618402,0.004312837,0.00111323,0.002330345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185298,"about_ca_system_score_gemma":0.005810564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009246321,"about_ca_topic_score_gemma":0.01010198,"domain_scores_codex":[0.9950016,0.002123918,0.0004617724,0.0006653687,0.001186474,0.0005608336],"domain_scores_gemma":[0.9929506,0.002566604,0.0005856316,0.00190719,0.001372638,0.0006173892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001383874,0.001511843,0.03170141,0.0005153882,0.000273931,0.00282202,0.004371718,0.1804448,0.01444612,0.1593818,0.07046805,0.5326791],"study_design_scores_gemma":[0.0001527711,0.0001381309,0.003430938,0.0001157721,0.0000658952,0.0004768351,0.003764653,0.7288826,0.01024414,0.1120007,0.1406085,0.0001191379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2230175,0.0005080751,0.6457841,0.01007499,0.0003702009,0.001287912,0.002390552,0.01982697,0.09673963],"genre_scores_gemma":[0.7701189,0.0002643387,0.2211294,0.0004393572,0.00006389205,0.0002394083,0.001947596,0.0003493949,0.005447654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009246321,"threshold_uncertainty_score":0.03659266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021442425513602,"score_gpt":0.2240090987187296,"score_spread":0.2137946744635936,"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."}}