{"id":"W2016912832","doi":"10.1155/2008/369601","title":"The Generation Challenge Programme Platform: Semantic Standards and Workbench for Crop Science","year":2008,"lang":"en","type":"article","venue":"International Journal of Plant Genomics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; BC Cancer Agency; University of British Columbia","funders":"Wageningen University and Research; Consortium of International Agricultural Research Centers; Centre de Coopération Internationale en Recherche Agronomique pour le Développement","keywords":"Interoperability; Workbench; Computer science; Suite; Ontology; Middleware (distributed applications); Domain (mathematical analysis); Implementation; Data science; World Wide Web; Data access; Database; Software engineering; Data mining","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":[0.007172297,0.002494386,0.001626987,0.005055869,0.002055111,0.007159009,0.006052856,0.003385733,0.0202547],"category_scores_gemma":[0.01198031,0.001604981,0.002189797,0.006922285,0.001200745,0.006509022,0.005082421,0.005144207,0.02958691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833396,"about_ca_system_score_gemma":0.006055926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00839131,"about_ca_topic_score_gemma":0.006648078,"domain_scores_codex":[0.9972134,0.0006419177,0.0005676959,0.0003315581,0.0009475743,0.000297856],"domain_scores_gemma":[0.9944863,0.001681112,0.0004005946,0.001892761,0.001039749,0.0004996049],"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":[0.0007209482,0.0004968741,0.001610924,0.001652554,0.0001862208,0.001273195,0.001466894,0.01489197,0.01710884,0.1756119,0.6204785,0.164501],"study_design_scores_gemma":[0.0001754117,0.0000496658,0.0007770725,0.0003949357,0.00003944269,0.0003776695,0.0002528114,0.01828175,0.007560412,0.07222373,0.8997461,0.0001210486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002781231,0.0005801545,0.7612988,0.00136809,0.0004556801,0.001631355,0.08534955,0.1165431,0.02999204],"genre_scores_gemma":[0.01262478,0.001096937,0.5424302,0.001037464,0.0001615849,0.00400947,0.3935492,0.03178488,0.01330547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0202547,"threshold_uncertainty_score":0.06775874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347159698769722,"score_gpt":0.2768127674649806,"score_spread":0.2420967975880084,"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."}}