{"id":"W2032482282","doi":"10.1109/mm.2007.45","title":"Wagging Wikipedia's long tail","year":2007,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Encyclopedia; Computer science; World Wide Web; Cover (algebra); The Internet; Peer production; Software; Open source software; Work (physics); Internet privacy; Information retrieval; Library science; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007659458,0.00004632225,0.00004788242,0.00005587898,0.0003413245,0.00007756643,0.0001175156,0.00005950806,0.0002642941],"category_scores_gemma":[0.00008246606,0.00005045198,0.00002159597,0.0003450665,0.00008848654,0.0001475049,0.00000520767,0.00006440972,0.000238341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144199,"about_ca_system_score_gemma":0.0002097946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004204452,"about_ca_topic_score_gemma":0.00392028,"domain_scores_codex":[0.9993498,0.00003988467,0.0001121273,0.0001100501,0.0001681907,0.0002199456],"domain_scores_gemma":[0.999612,0.00006249063,0.00004469655,0.00009177679,0.0001118465,0.00007714068],"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":[0.0000499234,0.000385543,0.08752155,0.00002649337,0.00003641743,0.00003503869,0.1741882,0.00002242877,0.1106219,0.04220864,0.3473558,0.2375481],"study_design_scores_gemma":[0.0001448775,0.000008891625,0.01084574,0.00001080205,0.000006902456,9.593191e-7,0.01306744,0.000002454486,0.02783554,0.0006516529,0.9472672,0.000157538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588803,0.0001509009,0.002815589,0.002851818,0.003313353,0.0001245042,0.000001135085,0.0001019214,0.1317604],"genre_scores_gemma":[0.9833195,0.00003043919,0.0006857511,0.0007607182,0.001469668,0.000003018352,0.000002119743,0.000006150492,0.01372259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5999115,"threshold_uncertainty_score":0.3063472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764739865604609,"score_gpt":0.3414132890140713,"score_spread":0.3237658903580252,"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."}}