{"id":"W2735165377","doi":"10.29173/cais365","title":"Using the Web Server Logs to Study Public Opinion","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public opinion; Political science; Webometrics; Humanities; World Wide Web; Library science; Computer science; Art; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002443926,0.0004697013,0.0006696844,0.0003875489,0.0004387888,0.01218444,0.006369172,0.0002685326,0.0001246149],"category_scores_gemma":[0.02449732,0.0003240371,0.0002901325,0.002956582,0.0006764913,0.03311177,0.003666298,0.0006269303,0.00004256163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593126,"about_ca_system_score_gemma":0.0008952187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182052,"about_ca_topic_score_gemma":0.00004160932,"domain_scores_codex":[0.9961013,0.0001131788,0.001066498,0.0006449377,0.001145881,0.0009282509],"domain_scores_gemma":[0.9157857,0.0003549327,0.001179116,0.0008277206,0.08147251,0.0003800232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000104769,0.002363938,0.529426,0.001121676,0.0005230266,0.000001998748,0.2069426,0.00008548579,0.006327248,0.1575959,0.0196674,0.07583993],"study_design_scores_gemma":[0.002364361,0.003804694,0.6211964,0.00123645,0.0002780452,0.0001612869,0.03044779,0.05433355,0.01315708,0.02073763,0.2505563,0.00172642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667122,0.0004619357,0.0005533607,0.02553626,0.001261629,0.001681765,0.00006333491,0.00005078558,0.003678763],"genre_scores_gemma":[0.9954953,0.0001203209,0.002197928,0.001001116,0.000225788,0.00004767261,0.000001008873,0.00002597483,0.0008848458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2308889,"threshold_uncertainty_score":0.9999211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09887492736642459,"score_gpt":0.2990201856830127,"score_spread":0.2001452583165881,"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."}}