{"id":"W1604132113","doi":"10.1590/s0034-759020150305","title":"USE AND CONSEQUENCES OF PARTICIPATORY GIS IN A MEXICAN MUNICIPALITY: APPLYING A MULTILEVEL FRAMEWORK","year":2015,"lang":"en","type":"article","venue":"Revista de Administração de Empresas","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Citizen journalism; Information and Communications Technology; Participatory GIS; Context (archaeology); Knowledge management; Process (computing); Identification (biology); Geographic information system; Participatory design; Sociology; Computer science; Geography; Engineering; World Wide Web; Cartography","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":[0.004983201,0.0002792836,0.0004795879,0.00219998,0.003782612,0.004706194,0.001040777,0.0007884564,0.002244924],"category_scores_gemma":[0.01047378,0.00028422,0.0004922959,0.002634801,0.005063451,0.002637152,0.00527737,0.0009320986,0.00008540846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007043273,"about_ca_system_score_gemma":0.003596298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04529958,"about_ca_topic_score_gemma":0.06919144,"domain_scores_codex":[0.9948597,0.003393017,0.0001406784,0.0004807806,0.0005130408,0.0006128535],"domain_scores_gemma":[0.9926313,0.004557059,0.001101987,0.0006226213,0.0007279306,0.0003590701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004333684,0.0006838733,0.5121963,0.0007704184,0.0003328257,0.002765646,0.2741161,0.009685296,0.003550146,0.08251321,0.001036115,0.1119167],"study_design_scores_gemma":[0.00005947398,0.0007710331,0.3553693,0.0006686403,0.0004205029,0.0003349376,0.57389,0.02031812,0.001780894,0.02612589,0.02016705,0.0000942803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987244,0.0001565912,0.003272462,0.001034437,0.000005362749,0.00008092657,0.00009763564,0.00001601186,0.008092565],"genre_scores_gemma":[0.9984089,0.00008669709,0.001186654,0.00001635085,0.000002094035,0.00004205769,0.00002149758,0.000002679647,0.000233062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04529958,"threshold_uncertainty_score":0.09007186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2403675784186924,"score_gpt":0.4040084289491266,"score_spread":0.1636408505304343,"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."}}