{"id":"W3026342838","doi":"10.1145/3393644","title":"Outside and inside our great city","year":2020,"lang":"en","type":"article","venue":"ACM Inroads","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Citation; Mount; Computer science; World Wide Web; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001195921,0.00005065818,0.00007302041,0.00002389033,0.0001970808,0.00002558442,0.000210534,0.0000951525,0.00004564578],"category_scores_gemma":[0.0009166072,0.00004886342,0.00001747286,0.0001492689,0.00007748907,0.00008873433,0.00008693436,0.0001058801,0.00005134566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001831736,"about_ca_system_score_gemma":0.00006430531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007535549,"about_ca_topic_score_gemma":0.0004684674,"domain_scores_codex":[0.9995075,0.00003696003,0.00006884171,0.0001421749,0.0001034466,0.0001410603],"domain_scores_gemma":[0.9996822,0.00002826712,0.00002395595,0.0001488883,0.00002716911,0.00008946131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003531449,0.00002418304,0.8923159,0.000005110716,0.00001973491,0.000004313482,0.04089267,4.810075e-7,0.0002209953,0.0129615,0.02222026,0.03133135],"study_design_scores_gemma":[0.0004690538,0.0001009742,0.6421745,0.000007499965,0.00004535871,0.000004035538,0.07018799,0.0000144132,0.001769741,0.1058293,0.1790365,0.0003606615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587209,0.00006984323,0.00003998606,0.1178621,0.0002173668,0.00007659291,0.000001104844,0.0001475147,0.02286455],"genre_scores_gemma":[0.9968056,0.00004799149,0.0007555357,0.001906669,0.0001481489,0.000006475546,0.000001298992,0.000003682452,0.0003246014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2501414,"threshold_uncertainty_score":0.1992592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09015762629388867,"score_gpt":0.3525531239958832,"score_spread":0.2623954977019945,"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."}}