{"id":"W2915533141","doi":"10.1111/tgis.12103","title":"GIScience Research at the 2014 <scp>E</scp>sri International User Conference","year":2014,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Data science; Computer science; Geographic information system; World Wide Web; Volunteered geographic information; Process (computing); Social media; Download; Geography; Library science; Cartography","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":[0.01115238,0.001740902,0.002008541,0.007288435,0.004478582,0.02196187,0.002446075,0.003666106,0.1555559],"category_scores_gemma":[0.01810812,0.0009684598,0.001857988,0.01137657,0.002504278,0.008705794,0.005764025,0.004337824,0.06653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005354479,"about_ca_system_score_gemma":0.008916182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009457605,"about_ca_topic_score_gemma":0.02021702,"domain_scores_codex":[0.9913881,0.001727382,0.0004211539,0.000806226,0.004972735,0.0006843199],"domain_scores_gemma":[0.9739637,0.004745038,0.0005916267,0.001635803,0.01473338,0.004330329],"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":[0.00003582151,0.00003526036,0.0005767061,0.0001789805,0.0000192428,0.0001006033,0.0006682145,0.0001343346,0.0003508318,0.003752269,0.9542389,0.0399089],"study_design_scores_gemma":[0.000009966063,0.00002418376,0.0005858537,0.0002232776,0.00001133816,0.00005532482,0.001108934,0.0001671137,0.000233285,0.00112622,0.9964341,0.00002043673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01600024,0.04420508,0.02292968,0.2980129,0.1703952,0.00076916,0.01107482,0.007055794,0.429557],"genre_scores_gemma":[0.04524391,0.04014621,0.01556732,0.01528056,0.02938304,0.000602796,0.01172139,0.006977358,0.8350774],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1555559,"threshold_uncertainty_score":0.5203863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131080098381045,"score_gpt":0.2872741914400018,"score_spread":0.2559633904561914,"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."}}