{"id":"W2991816141","doi":"","title":"Print Environments between High and Low Socioeconomic Status (SES) Communities.","year":2005,"lang":"en","type":"article","venue":"Teacher librarian","topic":"Digital Games and Media","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Sociology; Psychology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002964929,0.0001487433,0.0002427216,0.000926042,0.002814001,0.002119227,0.0002473913,0.0003322037,0.01338844],"category_scores_gemma":[0.002675987,0.0001249528,0.0001220128,0.0007921997,0.0008252976,0.001011035,0.002572346,0.0004269191,0.0007326946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005340083,"about_ca_system_score_gemma":0.0006916272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873897,"about_ca_topic_score_gemma":0.04504934,"domain_scores_codex":[0.9994362,0.0001842569,0.00002444467,0.00007468587,0.00007540449,0.0002049548],"domain_scores_gemma":[0.9986287,0.0002590831,0.0002922042,0.00003436661,0.0001517982,0.0006338526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006694713,0.001157201,0.867506,0.0001303227,0.00005163975,0.001513225,0.07039575,0.00004178119,0.001113571,0.002231274,0.003668331,0.05152133],"study_design_scores_gemma":[0.00003309343,0.0003575666,0.7528524,0.00009510737,0.00004004642,0.0006505077,0.2391976,0.00009127095,0.0002872999,0.001215496,0.005159547,0.00002017147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927066,0.0001500469,0.00005350093,0.0003962284,0.00001399139,0.0000081374,0.0001144121,0.000004727449,0.006552391],"genre_scores_gemma":[0.9984239,0.00009548674,0.00004263074,0.0001305738,0.000007723742,0.000007571246,0.00005970725,0.000002343745,0.001230011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01873897,"threshold_uncertainty_score":0.04478872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021677231921548,"score_gpt":0.2490643229881484,"score_spread":0.2273870910666004,"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."}}