{"id":"W4390284217","doi":"10.3389/978-2-8325-4182-1","title":"Knowledge Graph Technologies: the Next Frontier of the Food, Agriculture, and Water Domains","year":2023,"lang":"en","type":"book","venue":"Frontiers research topics","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Canada; Science Foundation Ireland; U.S. Department of Agriculture; Agence Nationale de la Recherche; National Science Foundation","keywords":"Frontier; Agriculture; Knowledge graph; Graph; Computer science; Business; Knowledge management; Data science; Geography; Theoretical computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009251849,0.001429978,0.001693566,0.008049814,0.001391836,0.008888578,0.004998811,0.004193051,0.008932136],"category_scores_gemma":[0.01590905,0.001043397,0.002403905,0.01177643,0.005813587,0.03213643,0.006025189,0.007129389,0.004682496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004341182,"about_ca_system_score_gemma":0.00383676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009134282,"about_ca_topic_score_gemma":0.005708361,"domain_scores_codex":[0.995662,0.001566692,0.0002825744,0.0008504769,0.001428886,0.0002092766],"domain_scores_gemma":[0.9785116,0.01248163,0.0007121229,0.003514836,0.003362782,0.001416917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009169399,0.00009508651,0.0008832126,0.001337018,0.0001182657,0.0002162324,0.0008440447,0.003649632,0.001096089,0.5596554,0.07003628,0.3619771],"study_design_scores_gemma":[0.00001378018,0.00002785874,0.0004544202,0.0006290505,0.00002995673,0.0002126053,0.0004811563,0.01169288,0.0005588955,0.556339,0.4295016,0.00005875572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00705483,0.09709107,0.7846121,0.06557962,0.003131749,0.000334933,0.003477252,0.006694024,0.03202441],"genre_scores_gemma":[0.05848469,0.1277063,0.7745436,0.01148842,0.003783208,0.0004631373,0.01106126,0.001840195,0.01062933],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009251849,"threshold_uncertainty_score":0.04892904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06949171489692578,"score_gpt":0.2978833290642245,"score_spread":0.2283916141672988,"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."}}