{"id":"W2530821531","doi":"10.1177/1527476416670012","title":"Urban Cartographies","year":2016,"lang":"en","type":"article","venue":"Television & New Media","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sociology; Pace; Racism; Media studies; Colonialism; Gender studies; Political science; Geography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003814526,0.0007254916,0.0003542928,0.006228793,0.005008485,0.006429717,0.0009026281,0.0009083914,0.1537153],"category_scores_gemma":[0.001803428,0.0003607108,0.0004180412,0.01637759,0.002883124,0.003158695,0.003066079,0.001008519,0.01502524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003492065,"about_ca_system_score_gemma":0.002022661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02647057,"about_ca_topic_score_gemma":0.08521777,"domain_scores_codex":[0.9994273,0.0001775418,0.00002328564,0.00005323836,0.0002260688,0.00009268701],"domain_scores_gemma":[0.9991702,0.0004065236,0.00005343338,0.0001612224,0.0001321533,0.0000764072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002965799,0.000007944057,0.0007327453,0.0005198648,0.00001161793,0.0006343974,0.03083519,0.0003714981,0.0003740677,0.1824033,0.7173633,0.06671657],"study_design_scores_gemma":[5.592016e-7,6.310183e-7,0.0002188336,0.0001031827,0.000001229911,0.00007663517,0.003095829,0.00001966268,0.00003142121,0.001277408,0.9951722,0.000002293656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006817633,0.01288238,0.003918065,0.008841131,0.004274856,0.0001034269,0.006489905,0.0007364255,0.9559361],"genre_scores_gemma":[0.186682,0.04322517,0.007053583,0.002243588,0.003625472,0.0003092533,0.01083778,0.002438667,0.7435845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1537153,"threshold_uncertainty_score":0.5142288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035036383874562,"score_gpt":0.2796093653129457,"score_spread":0.2492590014742,"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."}}