{"id":"W4221088439","doi":"10.1111/cars.12377","title":"Big data, computational social science, and other recent innovations in social network analysis","year":2022,"lang":"en","type":"article","venue":"Canadian Review of Sociology/Revue canadienne de sociologie","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Humanities; Social network (sociolinguistics); Social network analysis; Sociology; Computer science; World Wide Web; Social capital; Social media; Social science; Philosophy","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":[0.01487057,0.001187728,0.001732347,0.00723036,0.001279649,0.004729871,0.002256953,0.002108416,0.003360289],"category_scores_gemma":[0.03103006,0.0006080131,0.001118308,0.01348522,0.007332789,0.01237929,0.003467134,0.00615061,0.0008223605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00339781,"about_ca_system_score_gemma":0.004556903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003748263,"about_ca_topic_score_gemma":0.003970316,"domain_scores_codex":[0.9936325,0.002934793,0.0003268454,0.0009865286,0.001961131,0.0001582752],"domain_scores_gemma":[0.9426558,0.04865846,0.001353938,0.002702525,0.003626483,0.001002733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003815606,0.00006945519,0.001788224,0.00540087,0.0001930726,0.0001299558,0.000955938,0.0029418,0.0006143787,0.6592565,0.0245712,0.3040405],"study_design_scores_gemma":[0.0000132613,0.00004150915,0.001758567,0.001704094,0.00006080532,0.0003208527,0.0007116368,0.006093567,0.000444388,0.5798634,0.4089078,0.00008017543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003876877,0.6312138,0.2760321,0.05895388,0.004775435,0.0002519809,0.0009601189,0.000373735,0.02356194],"genre_scores_gemma":[0.05908488,0.7137293,0.1935384,0.01186054,0.01541127,0.0007202461,0.0009806708,0.0002179473,0.004456753],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01487057,"threshold_uncertainty_score":0.07864404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0853835915910642,"score_gpt":0.3194180053842071,"score_spread":0.2340344137931429,"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."}}