{"id":"W1534542674","doi":"10.15353/joci.v2i3.2070","title":"The Cserénfa experiment.","year":2007,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Social Media and Politics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; The Internet; Sociology of Education; Media studies; Management; Public relations; Social science; Political science; 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":[0.005203643,0.000879316,0.001012005,0.0005453083,0.002213972,0.00258983,0.001647998,0.003034831,0.09386176],"category_scores_gemma":[0.007735249,0.0004647446,0.0006812724,0.0009756325,0.001573093,0.001881525,0.001780359,0.002591692,0.01294974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001993323,"about_ca_system_score_gemma":0.002379272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004714166,"about_ca_topic_score_gemma":0.005395943,"domain_scores_codex":[0.9977872,0.00086847,0.0001469271,0.0004237068,0.0003935729,0.0003800353],"domain_scores_gemma":[0.9936017,0.002723595,0.0004855429,0.001437363,0.0008116561,0.0009400782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1219316,0.04832668,0.01658908,0.003883129,0.0005400004,0.001468311,0.006209821,0.00330442,0.009904508,0.09722982,0.4523515,0.2382611],"study_design_scores_gemma":[0.03244292,0.03731241,0.05514349,0.0005396273,0.0003497215,0.0003364284,0.003251259,0.002876833,0.006964498,0.02764175,0.8327809,0.0003600618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5715139,0.001597824,0.007450384,0.006956248,0.006582351,0.02825086,0.04655213,0.001384237,0.3297121],"genre_scores_gemma":[0.729542,0.0006968241,0.01334506,0.007431242,0.00110766,0.04992884,0.02609752,0.0003684577,0.1714824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09386176,"threshold_uncertainty_score":0.3139989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05822474502267989,"score_gpt":0.3822188880127915,"score_spread":0.3239941429901116,"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."}}