{"id":"W4241508185","doi":"10.4018/978-1-5225-7601-3.ch035","title":"The NetLab Network","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in multimedia and interactive technologies book series","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sensibility; Social capital; Social network (sociolinguistics); Perspective (graphical); Intersection (aeronautics); The Internet; Sociology; Public relations; Focus (optics); Social media; Political science; Computer science; Social science; World Wide Web; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002188754,0.0003464806,0.0004216724,0.0001030196,0.0008393363,0.0001127788,0.000577554,0.0006323604,0.0002107829],"category_scores_gemma":[0.001450451,0.0002685692,0.00008256819,0.00007914033,0.006837786,0.001135469,0.0002732038,0.0008214862,0.00007863906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104475,"about_ca_system_score_gemma":0.0001470196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009325868,"about_ca_topic_score_gemma":0.00456085,"domain_scores_codex":[0.998246,0.00006559415,0.0003741987,0.0003880798,0.0002930803,0.000633034],"domain_scores_gemma":[0.9970981,0.002042818,0.000311619,0.0003139953,0.0001724227,0.00006100235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001778148,0.0000122097,0.0009070312,0.00002734153,0.00008824938,0.00003125765,0.01534796,8.502074e-7,0.000004002855,0.5879075,0.01407379,0.381422],"study_design_scores_gemma":[0.00009019874,0.00009913394,0.00001096912,0.000194697,0.00001580145,0.00000161036,0.02569833,0.000003527233,0.000066263,0.1977223,0.7758513,0.0002458176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.000261747,0.09945619,0.00002058186,0.004269854,0.004726425,0.0008579587,0.0000314565,0.0007111981,0.8896646],"genre_scores_gemma":[0.003970457,0.5764409,0.001336152,0.0003084522,0.001713166,0.000164241,0.00001333476,0.00006644281,0.4159869],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7617775,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230301572313533,"score_gpt":0.3068689613358769,"score_spread":0.2945659456127416,"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."}}