{"id":"W2207039508","doi":"","title":"Mapping Regina (and Saskatchewan and the people)","year":2011,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Citizen journalism; Sociology; Geography; Cartography; Visual arts; Computer science; Artificial intelligence; World Wide Web; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008567763,0.00003647263,0.00007459103,0.00003212011,0.0006065625,0.00003803969,0.00005791664,0.00002270701,0.00003676388],"category_scores_gemma":[0.00005002442,0.00002131631,0.00001310685,0.0001515725,0.0004246413,0.0001314145,0.00004386541,0.00003063628,0.0000100509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000368022,"about_ca_system_score_gemma":0.00001656523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01906522,"about_ca_topic_score_gemma":0.03137451,"domain_scores_codex":[0.9996052,0.00005037294,0.00007593668,0.00005074392,0.0001097901,0.0001078958],"domain_scores_gemma":[0.999746,0.00007675528,0.00004235561,0.00005991253,0.00004730397,0.00002764851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000002278214,9.089193e-7,0.0402501,0.000005132954,0.000009859668,7.151313e-8,0.7900867,4.247291e-9,2.023298e-7,0.1681601,0.000607243,0.0008773471],"study_design_scores_gemma":[0.0002478322,0.000003421465,0.08463617,0.00000616103,0.000003339854,0.000001454168,0.8683984,0.000004644145,0.000001139349,0.004035894,0.04261263,0.00004888588],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2525431,0.0002137223,0.0003001852,0.005925611,0.0001155194,0.0002350053,2.932738e-7,0.00005725461,0.7406093],"genre_scores_gemma":[0.9934818,0.0001224883,0.0002124062,0.000205726,0.00002781147,0.00001114078,6.177329e-8,0.000001193108,0.005937366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7409387,"threshold_uncertainty_score":0.9874669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601627356709766,"score_gpt":0.2320586764274831,"score_spread":0.2060424028603854,"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."}}