{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001929927,0.0001250331,0.0001390679,0.00007969272,0.0001478281,0.0005420418,0.0007407918,0.00004206577,0.00000536476],"category_scores_gemma":[0.00000925685,0.00006371858,0.00002783245,0.0000954982,0.00003716292,0.004291782,0.00019257,0.00006744431,0.00001909026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004775932,"about_ca_system_score_gemma":0.00001877399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002027121,"about_ca_topic_score_gemma":0.00001908759,"domain_scores_codex":[0.9987076,0.00001839584,0.0004960643,0.0001221791,0.0005389323,0.0001168156],"domain_scores_gemma":[0.9989139,0.00006554177,0.0004888225,0.0001300113,0.0003211618,0.00008060792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004479739,0.001583027,0.02962753,0.0007519477,0.005654767,0.00008618795,0.09490272,0.01978063,0.1025567,0.05780117,0.05925057,0.623525],"study_design_scores_gemma":[0.01196707,0.004433692,0.6849017,0.001112708,0.0001996892,0.01693328,0.03375197,0.05207042,0.01150393,0.0002730027,0.1812886,0.001563895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018386,0.00009211741,0.1942087,0.0008871455,0.001995092,0.0003319289,0.0001363082,0.00002572562,0.0004843603],"genre_scores_gemma":[0.9940991,0.00003776916,0.004812748,0.0002783599,0.0003983525,0.00000397215,0.0003317747,0.000002099924,0.00003582396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6552742,"threshold_uncertainty_score":0.5226921,"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."}}