{"id":"W4253623984","doi":"10.32920/14638020.v1","title":"A Scalable GeoWeb Tool for Argumentation Mapping","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Public participation GIS; Geospatial analysis; Computer science; Volunteered geographic information; World Wide Web; Deliberation; Participatory GIS; Geographic information system; Scalability; Crowdsourcing; Discoverability; Data science; Knowledge management; Citizen journalism; GIS and public health; Database; Geography; Remote sensing","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":[0.002039293,0.001118655,0.0007845403,0.003970233,0.001061454,0.003614392,0.00236703,0.001546305,0.03690629],"category_scores_gemma":[0.006721359,0.0006653231,0.001152062,0.002685821,0.0008083116,0.004075372,0.005512115,0.001224747,0.01462196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706093,"about_ca_system_score_gemma":0.001584564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002574656,"about_ca_topic_score_gemma":0.003646293,"domain_scores_codex":[0.9984174,0.0004248433,0.0001569697,0.0002277336,0.0006769634,0.00009607106],"domain_scores_gemma":[0.996909,0.001448001,0.0001738545,0.0007753881,0.0004153503,0.0002784553],"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":[0.0004559711,0.0004307921,0.003834068,0.00101862,0.0001960111,0.002249996,0.002204802,0.02068068,0.01390181,0.1036252,0.3245578,0.5268443],"study_design_scores_gemma":[0.0003091817,0.00006765297,0.002171182,0.0003102402,0.00005039125,0.001041474,0.0008328147,0.1316177,0.01583454,0.1170515,0.7305425,0.0001707485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005372291,0.0002220549,0.7262492,0.0007590711,0.0002175628,0.0005302082,0.009644314,0.2284964,0.02850874],"genre_scores_gemma":[0.1287681,0.0006125866,0.7764534,0.0006213827,0.0001456194,0.002032505,0.03227611,0.02711455,0.03197574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03690629,"threshold_uncertainty_score":0.1234639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04650666641015078,"score_gpt":0.3227313247812357,"score_spread":0.2762246583710849,"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."}}