{"id":"W1998835481","doi":"10.3138/d781-r2q5-5587-3153","title":"Role-Playing Games in Cybercartography: Multiple Perspectives and Critical Thinking","year":2006,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Geospatial analysis; Perspective (graphical); Computer science; Narrative; Context (archaeology); Critical thinking; Game mechanics; Human–computer interaction; Game design; Computer game; Data science; Multimedia; Psychology; Artificial intelligence; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002526439,0.000201099,0.0002082583,0.001651996,0.002403617,0.001256486,0.0003359971,0.0001532352,0.00001340263],"category_scores_gemma":[0.0008060576,0.0001669888,0.0001788556,0.0008318385,0.0007325858,0.002311978,0.00008068168,0.0002699122,0.000001393439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005578893,"about_ca_system_score_gemma":0.00007850043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326186,"about_ca_topic_score_gemma":0.003293246,"domain_scores_codex":[0.9975942,0.0001517729,0.0008134939,0.0001695772,0.0008783918,0.0003926097],"domain_scores_gemma":[0.9973333,0.0006237453,0.0003780291,0.0001049336,0.00146212,0.00009788357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007014423,0.00003916116,0.3527989,0.00002671078,0.0000884629,0.000001083159,0.05047655,0.0001030999,0.0000206289,0.5924793,0.000376522,0.003519435],"study_design_scores_gemma":[0.002739704,0.000120393,0.3970646,0.0002769282,0.00009410172,0.0001408478,0.2957481,0.006042447,0.00001222565,0.1388469,0.1582496,0.0006641627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553738,0.004611173,0.01351261,0.0154649,0.002075356,0.001530319,0.00007265066,0.0002142924,0.007144891],"genre_scores_gemma":[0.9961305,0.002444485,0.0004104575,0.0004976662,0.0003406268,0.00009031204,0.0000531769,0.000009719374,0.00002302425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4536324,"threshold_uncertainty_score":0.9997803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010529494862524,"score_gpt":0.3029386427107624,"score_spread":0.2928333477621372,"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."}}