{"id":"W2166300068","doi":"10.1109/cse.2009.113","title":"Information Technology Capabilities for Digital Social Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Typology; Dissemination; Computer science; Knowledge management; Social network (sociolinguistics); World Wide Web; Data science; Social network analysis; Identity (music); Social media; Telecommunications; Sociology","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":[0.001207891,0.000495052,0.0003038119,0.003113059,0.001442578,0.005787661,0.0005817891,0.001136917,0.0212993],"category_scores_gemma":[0.009392799,0.0002817975,0.0005033704,0.002752999,0.002491894,0.01041982,0.003936424,0.001318112,0.002055382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422064,"about_ca_system_score_gemma":0.0007983407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392307,"about_ca_topic_score_gemma":0.00130225,"domain_scores_codex":[0.9989741,0.0003832231,0.0001050889,0.0001547853,0.0002955061,0.00008749001],"domain_scores_gemma":[0.9931656,0.004564563,0.0008640937,0.0006517771,0.0004344012,0.0003196543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000315163,0.000005488625,0.0002758389,0.00007640552,0.000004294539,0.00008386513,0.0004177397,0.0007101253,0.0001392031,0.9839919,0.00146524,0.01282667],"study_design_scores_gemma":[0.000004905561,0.00000789041,0.0006629208,0.0001362147,0.000009903591,0.0003638914,0.0005354251,0.004624446,0.0002063884,0.9086267,0.08480382,0.00001738406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05751745,0.01678662,0.288036,0.02585561,0.000699621,0.0002866787,0.001587443,0.00058958,0.608641],"genre_scores_gemma":[0.855358,0.01179728,0.09946409,0.0007668958,0.0008496891,0.0005200091,0.0005854303,0.000117431,0.03054119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0212993,"threshold_uncertainty_score":0.07125324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005121494665318861,"score_gpt":0.2380586732654419,"score_spread":0.2329371786001231,"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."}}