{"id":"W1608477814","doi":"10.15353/joci.v10i3.3443","title":"Exploring the use of PPGIS in self-organizing urban development: Case softGIS in Pacific Beach","year":2014,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public participation GIS; Environmental planning; Process (computing); Geography; Geographic information system; Computer science; GIS and public health; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00294367,0.0003172595,0.0002303529,0.001424597,0.005051088,0.004059237,0.0016166,0.0009712781,0.004586959],"category_scores_gemma":[0.005595679,0.0003418768,0.0002528057,0.002095917,0.006908227,0.003004831,0.006200299,0.001360136,0.0003888473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004065094,"about_ca_system_score_gemma":0.004099913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05107096,"about_ca_topic_score_gemma":0.1400632,"domain_scores_codex":[0.9975362,0.001796153,0.00004428684,0.0001488969,0.000223959,0.0002505991],"domain_scores_gemma":[0.9952096,0.00330454,0.0002118476,0.0005559023,0.000257895,0.000460128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002337763,0.0007818397,0.06847984,0.0004963896,0.00004067518,0.0128481,0.6464139,0.01074805,0.002835094,0.09874742,0.006225373,0.1521495],"study_design_scores_gemma":[0.0000831129,0.0003313084,0.02602216,0.0003349619,0.0000369066,0.001595136,0.7941164,0.02103721,0.002798239,0.02375763,0.129813,0.00007391538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939468,0.00007867144,0.01159981,0.002015853,0.00001184915,0.0002268125,0.0001121305,0.0001680901,0.04631889],"genre_scores_gemma":[0.9826418,0.0001423621,0.01291916,0.00006208978,0.000003235657,0.0001256286,0.00004743897,0.00004411786,0.004014187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05107096,"threshold_uncertainty_score":0.1015474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1780115051508011,"score_gpt":0.2875243326043553,"score_spread":0.1095128274535542,"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."}}