{"id":"W3152358508","doi":"10.29173/iasl7757","title":"Home broadband adoption and student achievement","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadband; Rural area; Business; Broadband networks; Face (sociological concept); Digital divide; Telecommunications; Economic growth; Public relations; Information and Communications Technology; Political science; Sociology; Computer science; Economics","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":[0.001247138,0.0002322987,0.0002902787,0.001499685,0.0009975091,0.002179314,0.0006020017,0.0005853385,0.007645132],"category_scores_gemma":[0.006258495,0.0001551215,0.0005661891,0.001484972,0.0005588828,0.0008771886,0.001563487,0.001637563,0.001624958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006135672,"about_ca_system_score_gemma":0.0006510805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898076,"about_ca_topic_score_gemma":0.01506506,"domain_scores_codex":[0.9987697,0.0003057776,0.0001010128,0.0001502753,0.0003165971,0.0003566394],"domain_scores_gemma":[0.9929709,0.0008356856,0.00223338,0.0002712189,0.001257272,0.002431628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000553655,0.0004368486,0.9893209,0.00001727877,0.00005226446,0.00005956017,0.0004584139,0.00008764018,0.00004584248,0.0002671423,0.001010313,0.008188448],"study_design_scores_gemma":[0.000003268876,0.0001680144,0.9971384,0.00002178809,0.00001989797,0.00004575827,0.001118548,0.0001558036,0.00008051264,0.0001165514,0.001124857,0.000006663802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892963,0.0002112268,0.0001056186,0.0005668796,0.00002279164,0.00001651263,0.0006865151,0.00002874157,0.009065384],"genre_scores_gemma":[0.9974768,0.0001058914,0.00004821697,0.000052453,0.000009885533,0.000009632189,0.0002996866,0.000005819114,0.001991654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898076,"threshold_uncertainty_score":0.03774059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486909490265497,"score_gpt":0.249784429137643,"score_spread":0.234915334234988,"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."}}