{"id":"W4389924909","doi":"10.1093/oxfordhb/9780198829324.013.0011","title":"Networks","year":2023,"lang":"en","type":"book-chapter","venue":"Archives","topic":"Social and Cultural Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; Data science; Big data; World Wide Web; Data collection; Data mining; Sociology","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":[0.001317957,0.0007848529,0.0006202467,0.003720722,0.001658189,0.006699165,0.001561841,0.001579441,0.100417],"category_scores_gemma":[0.007095212,0.0004435851,0.0007007986,0.005520375,0.001839085,0.006885105,0.00320717,0.001662547,0.02153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930922,"about_ca_system_score_gemma":0.001499437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003102417,"about_ca_topic_score_gemma":0.003126704,"domain_scores_codex":[0.9979368,0.0007096289,0.0001179547,0.000602899,0.0005224911,0.0001101878],"domain_scores_gemma":[0.9966954,0.001513098,0.000313247,0.0006610665,0.0006148671,0.0002024315],"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":[0.00001311337,0.00001062461,0.0004765971,0.000247476,0.00002105003,0.00009628977,0.0003945371,0.002758757,0.0002406988,0.8592841,0.06661165,0.06984509],"study_design_scores_gemma":[0.000004230277,0.000005534891,0.0003044851,0.0001563096,0.000007641333,0.0001475568,0.0002522989,0.003840894,0.0001404012,0.3393486,0.6557811,0.00001092456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006093347,0.007558487,0.3371395,0.01220202,0.001490644,0.000337287,0.01141876,0.00202689,0.6217331],"genre_scores_gemma":[0.1968379,0.02303867,0.2229829,0.003517356,0.002231754,0.001476197,0.02660502,0.001213568,0.5220966],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.100417,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243531515675662,"score_gpt":0.2737020213081293,"score_spread":0.2412667061513726,"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."}}