{"id":"W2577490605","doi":"10.1109/wi.2016.0088","title":"Tracking User Activities and Marketplace Dynamics in Classified Ads","year":2016,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Dynamics (music); Probabilistic logic; Tracking (education); Generative model; User modeling; Generative grammar; Human–computer interaction; Association (psychology); Artificial intelligence; World Wide Web; User interface; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00118359,0.0003379825,0.0004028478,0.001597356,0.0003045962,0.001037382,0.0005325596,0.0005938403,0.001131779],"category_scores_gemma":[0.006785968,0.0003535791,0.0003346494,0.001462434,0.000336057,0.001780671,0.0004352446,0.0007225954,0.0005961361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434173,"about_ca_system_score_gemma":0.0002648677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114263,"about_ca_topic_score_gemma":0.01659466,"domain_scores_codex":[0.999491,0.0001776783,0.00002507304,0.0001570021,0.00009855146,0.00005072133],"domain_scores_gemma":[0.9948548,0.002850957,0.001125805,0.000482127,0.0004414275,0.0002448728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005745272,0.0004872946,0.855669,0.0001359461,0.0002636492,0.0003398281,0.001453111,0.05839545,0.01108438,0.005497016,0.002010762,0.06408896],"study_design_scores_gemma":[0.00001680188,0.0001221034,0.3283361,0.00001602807,0.00005172574,0.0002342941,0.0004655614,0.6632312,0.002052366,0.004083605,0.001357874,0.00003235297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871721,0.0001227732,0.0101419,0.0001867953,0.000009972164,0.00002790201,0.0008125235,0.000111008,0.001415111],"genre_scores_gemma":[0.9960293,0.00007204433,0.002915834,0.00001585849,0.000009164572,0.00001143939,0.0004312695,0.000009275263,0.0005059087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01114263,"threshold_uncertainty_score":0.02215558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009812224560357546,"score_gpt":0.2443509959960252,"score_spread":0.2345387714356676,"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."}}