{"id":"W1593504724","doi":"","title":"Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management","year":2009,"lang":"en","type":"article","venue":"Conference on Information and Knowledge Management","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Complex network; Variety (cybernetics); Data science; Centrality; Network science; Social network analysis; World Wide Web; Social media; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004570689,0.001294486,0.001806446,0.001562282,0.001465245,0.007120003,0.002865511,0.002379724,0.07989404],"category_scores_gemma":[0.007581502,0.0006381241,0.001280538,0.001826131,0.001309299,0.008285891,0.004254723,0.004671062,0.02827968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477935,"about_ca_system_score_gemma":0.002360344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0026367,"about_ca_topic_score_gemma":0.004849874,"domain_scores_codex":[0.9971951,0.0009886562,0.0002044457,0.0005045127,0.0008496235,0.0002575721],"domain_scores_gemma":[0.9954128,0.00150541,0.0001657975,0.0007842896,0.001185651,0.0009461448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001247031,0.0001381674,0.000493168,0.0005407488,0.00008180242,0.0001582109,0.0004458949,0.0009005912,0.001345156,0.02264209,0.7344579,0.2386715],"study_design_scores_gemma":[0.0000127334,0.00003928326,0.0004812987,0.0002432977,0.00002608766,0.0001610908,0.00023047,0.002878357,0.0003349313,0.01223987,0.9833324,0.00002023346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01220478,0.1633243,0.3318831,0.09478228,0.1202017,0.001086405,0.005122209,0.005526626,0.2658687],"genre_scores_gemma":[0.06777459,0.0887356,0.2070213,0.01115524,0.02811131,0.001122542,0.01902037,0.002689979,0.574369],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07989404,"threshold_uncertainty_score":0.2672722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240358905338617,"score_gpt":0.2816231620443919,"score_spread":0.2575872715105302,"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."}}