{"id":"W4386362816","doi":"10.33137/ijidi.v7i1/2.38691","title":"TopoRadio","year":2023,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Geocoding; Metadata; Visibility; Field (mathematics); Computer science; Representation (politics); Process (computing); Selection (genetic algorithm); Geographic information system; Software; World Wide Web; Cartography; Geography; Political science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001842493,0.00007294262,0.0001092246,0.000337035,0.001391547,0.000209183,0.00137082,0.00005823097,0.0003346292],"category_scores_gemma":[0.0008022395,0.00005430802,0.0001421205,0.0003165043,0.0001639572,0.002551325,0.001746433,0.0001701807,0.0004306351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000303528,"about_ca_system_score_gemma":0.0002235641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003541824,"about_ca_topic_score_gemma":0.00008083342,"domain_scores_codex":[0.9975034,0.00006866487,0.0003824171,0.00004375961,0.001840177,0.0001615842],"domain_scores_gemma":[0.9983389,0.000229134,0.0004568057,0.00008773773,0.0007638267,0.0001236345],"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":[0.0004208092,0.0001023487,0.01417348,0.00001133439,0.000275206,0.0001137567,0.3563236,0.001063198,0.00007583832,0.06383289,0.3694512,0.1941564],"study_design_scores_gemma":[0.0009959035,0.00007736007,0.01282197,0.00006804944,0.00002769305,0.0000515643,0.02784629,0.0004968504,0.0001612874,0.01366476,0.9436127,0.0001755802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8475374,0.00006381772,0.0006074226,0.03836117,0.006000533,0.0001736399,0.00002858899,0.0001010448,0.1071264],"genre_scores_gemma":[0.9962323,0.0004188977,0.0000742651,0.001649652,0.0006777436,4.782657e-7,0.00001467658,0.000002595585,0.0009293521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5741615,"threshold_uncertainty_score":0.9999085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594058625176177,"score_gpt":0.2886759698787852,"score_spread":0.2627353836270234,"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."}}