{"id":"W2017042400","doi":"10.3138/f333-6v74-815u-4631","title":"The Socialization of GIS","year":2004,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socialization; Dissemination; Public participation GIS; Confidentiality; Diversity (politics); Public relations; Population; Internet privacy; Sociology; Geographic information system; Data science; Political science; Social science; Geography; GIS and public health; Computer science; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005567343,0.0004712157,0.0004072251,0.003837254,0.005713891,0.01120885,0.000962417,0.002149729,0.006097972],"category_scores_gemma":[0.01635771,0.0003821076,0.000402312,0.00461462,0.03363593,0.0102448,0.01112779,0.002968344,0.0006140098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005232422,"about_ca_system_score_gemma":0.002105334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00856605,"about_ca_topic_score_gemma":0.004892372,"domain_scores_codex":[0.9865791,0.009911575,0.0003050803,0.0008899472,0.001636948,0.0006773071],"domain_scores_gemma":[0.9883041,0.006981924,0.001128036,0.001625403,0.00121092,0.0007495731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003020952,0.00002986629,0.004354744,0.0001311244,0.00003288871,0.0003158443,0.124501,0.0008153943,0.0007703587,0.802257,0.01408841,0.05267307],"study_design_scores_gemma":[0.00001194431,0.00006294696,0.006644673,0.000328726,0.00001659367,0.0005543822,0.07068872,0.001378189,0.0005342247,0.1999996,0.7197152,0.00006471753],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2305299,0.009398544,0.03967023,0.07228916,0.001148917,0.0001088758,0.0003845308,0.0004278342,0.6460419],"genre_scores_gemma":[0.9822969,0.002972504,0.003923037,0.001846179,0.0003959611,0.00006690701,0.000115674,0.0001645521,0.008218314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9942861,"threshold_uncertainty_score":0.03796405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427185140897316,"score_gpt":0.3200551857860585,"score_spread":0.3057833343770854,"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."}}