{"id":"W2969120545","doi":"10.3897/biss.3.38627","title":"Using Wikidata and Metaphactory to Underpin an Integrated Flora of Canada","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Computer science; XML; Flora (microbiology); Information retrieval; World Wide Web; Database; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002928945,0.0007107408,0.0005229865,0.01030543,0.007993393,0.008991336,0.002918327,0.0008365418,0.01686865],"category_scores_gemma":[0.007954365,0.0006774369,0.0007599685,0.009067857,0.003788359,0.00450719,0.00539983,0.002278235,0.002857448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.060941,"about_ca_system_score_gemma":0.1493865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9752141,"about_ca_topic_score_gemma":0.9795387,"domain_scores_codex":[0.9975016,0.0001767249,0.0001395066,0.0004129516,0.001410066,0.0003591815],"domain_scores_gemma":[0.9892402,0.0006927506,0.0003194625,0.001034166,0.006359775,0.002353736],"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":[0.0002234405,0.0001117655,0.01450747,0.001111448,0.0001479926,0.001339421,0.01771004,0.006440556,0.0109941,0.2007979,0.2931773,0.4534386],"study_design_scores_gemma":[0.0000120717,0.000009562479,0.005279201,0.0002532092,0.00002823496,0.0001071856,0.002262383,0.001675325,0.001106467,0.007306999,0.9818818,0.0000776396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06662149,0.006927439,0.2381492,0.02631189,0.003427425,0.00176505,0.04974673,0.0397882,0.5672626],"genre_scores_gemma":[0.2165234,0.004478022,0.5657076,0.002534751,0.0002021693,0.0007062256,0.03823667,0.009589246,0.1620218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.060941,"threshold_uncertainty_score":0.44216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118959542827469,"score_gpt":0.2620479848603429,"score_spread":0.2308583894320682,"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."}}