{"id":"W4231135506","doi":"10.1007/978-1-4939-7131-2_100810","title":"Online Social Networks Deviance","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Deviance (statistics); Psychology; Sociology; Criminology; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004249587,0.0004455152,0.0002124654,0.001822557,0.0008564823,0.001822111,0.0003631706,0.001008705,0.008093589],"category_scores_gemma":[0.003122428,0.00016043,0.000180864,0.00116838,0.001463717,0.003434572,0.001270531,0.001627396,0.001959997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006309096,"about_ca_system_score_gemma":0.0002860146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114307,"about_ca_topic_score_gemma":0.002106136,"domain_scores_codex":[0.9995585,0.0001087234,0.00001128757,0.00005663788,0.0002138562,0.00005090144],"domain_scores_gemma":[0.9987922,0.0006133023,0.0001797303,0.0001207111,0.0001814787,0.0001125635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002565273,0.0001275861,0.01458321,0.0002169642,0.00003803605,0.0003359868,0.004354996,0.0006248213,0.0006345675,0.4115664,0.09504278,0.4724491],"study_design_scores_gemma":[0.000007895783,0.00008221508,0.0332894,0.001020452,0.00004316227,0.002741292,0.004112401,0.004665451,0.001350075,0.3671356,0.5855103,0.00004188217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08751988,0.02331671,0.01212888,0.02070197,0.001786108,0.00006784604,0.0003732885,0.0002327152,0.8538725],"genre_scores_gemma":[0.7536473,0.02052272,0.003958385,0.002896844,0.002823238,0.00005855835,0.0003384057,0.0001228336,0.2156316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008093589,"threshold_uncertainty_score":0.02707577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875059744280078,"score_gpt":0.239829525610273,"score_spread":0.2110789281674723,"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."}}