{"id":"W2087975262","doi":"10.1007/s12518-014-0141-0","title":"Usability evaluation of collaborative PPGIS-GeoCWMI for supporting public participation during municipal planning and management services","year":2014,"lang":"en","type":"article","venue":"Applied Geomatics","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Public participation GIS; Usability; Participatory GIS; Geospatial analysis; Public participation; Computer science; Geographic information system; World Wide Web; Knowledge management; Citizen journalism; GIS and public health; Geography; Human–computer interaction; Public relations; Political science","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":[0.01300859,0.0009011939,0.0006711716,0.001464084,0.001085453,0.002091939,0.001407887,0.0009531335,0.003629254],"category_scores_gemma":[0.05454844,0.0005249165,0.000804971,0.001414393,0.0007560617,0.001653387,0.002722786,0.0006112584,0.0006570523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139959,"about_ca_system_score_gemma":0.002133202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0114418,"about_ca_topic_score_gemma":0.01681827,"domain_scores_codex":[0.989705,0.007317788,0.0008861159,0.0006337216,0.001141101,0.000316222],"domain_scores_gemma":[0.9431722,0.04270845,0.001194274,0.003976881,0.007827019,0.001121183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01055165,0.01124611,0.1133781,0.009801236,0.001005317,0.001822573,0.125842,0.01880997,0.04725179,0.004136553,0.01836177,0.637793],"study_design_scores_gemma":[0.004432713,0.03510487,0.4702589,0.003093285,0.003373009,0.002834976,0.08481984,0.1792025,0.06877135,0.00485056,0.1421746,0.001083366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680027,0.0001919065,0.02392173,0.0001887234,0.00006008115,0.001476325,0.0007329004,0.001202804,0.004222793],"genre_scores_gemma":[0.9195039,0.0001840889,0.07417796,0.0001342015,0.000025263,0.002271511,0.001644777,0.0003422756,0.001716093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300859,"threshold_uncertainty_score":0.06879687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04863495724614265,"score_gpt":0.3644173675040593,"score_spread":0.3157824102579166,"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."}}