{"id":"W1916045851","doi":"10.25336/p6pp6c","title":"Bridges across the Racial Digital Divide: Residential Ecology of Internet Use","year":2008,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"The Internet; Metropolitan area; Ecology; Socioeconomic status; Digital divide; Geography; Urban ecology; Population ecology; Population; Social ecology; Dimension (graph theory); Sociology; Demography; Biology; Political science; Habitat; Computer science; Mathematics; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004533112,0.00008760001,0.0001998044,0.001562547,0.00198293,0.001615055,0.000399223,0.0002568781,0.002847056],"category_scores_gemma":[0.002290723,0.00008484598,0.000130207,0.001759158,0.00174423,0.001298621,0.00180697,0.0003390115,0.00009371105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523337,"about_ca_system_score_gemma":0.001738874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1035429,"about_ca_topic_score_gemma":0.2492272,"domain_scores_codex":[0.9996325,0.0001367488,0.000009205097,0.00005914751,0.00006833106,0.00009412634],"domain_scores_gemma":[0.999252,0.0001600517,0.0002086011,0.00005316581,0.0001657598,0.0001603802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005178058,0.00009539269,0.9145228,0.00003650091,0.00003078895,0.0001853696,0.02437259,0.0002287983,0.0005010088,0.01502991,0.0008432192,0.04410177],"study_design_scores_gemma":[0.000002032994,0.00002561411,0.9596675,0.00003690199,0.00001538729,0.0001427475,0.03355122,0.0005513582,0.00008084839,0.002678926,0.003240393,0.000007016019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889409,0.0003022412,0.0006309582,0.0006204107,0.000006166978,0.00001030601,0.0000690255,0.000004425109,0.009415579],"genre_scores_gemma":[0.9995131,0.00009181279,0.0001818065,0.0000273303,0.000004260212,0.000002336892,0.00002297869,0.000001078599,0.0001550903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8964571,"threshold_uncertainty_score":0.2058803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094444656008483,"score_gpt":0.3651696370164039,"score_spread":0.2557251714155556,"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."}}