{"id":"W2966811138","doi":"10.19173/irrodl.v20i4.3794","title":"The Nationwide Landscape of K–12 School Websites in the United States","year":2019,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Outreach; Service (business); Charter; World Wide Web; Business; Computer science; Sociology; Political science; Marketing","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":[0.001170536,0.00009333594,0.0001746016,0.002476917,0.001233162,0.002332133,0.0004272568,0.0003877128,0.002619885],"category_scores_gemma":[0.003909431,0.0002071664,0.0001527962,0.004068418,0.0008385217,0.001919754,0.001249105,0.0005523163,0.0003584983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023332,"about_ca_system_score_gemma":0.001434999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483107,"about_ca_topic_score_gemma":0.06803738,"domain_scores_codex":[0.9988035,0.000340107,0.0001031715,0.0002988364,0.0002779263,0.0001764689],"domain_scores_gemma":[0.9931797,0.001843073,0.002696371,0.0003069305,0.001184842,0.0007891837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004233881,0.0001618181,0.9223427,0.0001345974,0.00001942438,0.0002379564,0.007144164,0.00008555913,0.0008558194,0.002337938,0.001782817,0.06485489],"study_design_scores_gemma":[0.000002183292,0.00005316689,0.9747029,0.0001224127,0.00001083915,0.000307539,0.01527656,0.000123525,0.0002143738,0.000264794,0.008911331,0.00001035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923506,0.001000339,0.000182691,0.0004856542,0.000006511249,0.00001699383,0.0005152006,0.00001606294,0.005425904],"genre_scores_gemma":[0.9977466,0.0007202963,0.0003912087,0.0001408533,0.000005057382,0.00001651005,0.0003989494,0.000005519354,0.0005750098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02483107,"threshold_uncertainty_score":0.04937303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834887568935039,"score_gpt":0.447303224117963,"score_spread":0.3889543484286126,"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."}}