{"id":"W2597453057","doi":"10.29173/cais298","title":"The Visualization of the Citation Patterns of Some Canadian Journals","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Citation; Subject (documents); Humanities; Library science; Computer science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0009431608,0.0004412369,0.0003332108,0.02186035,0.001884332,0.003591715,0.0005930137,0.0004575475,0.005165204],"category_scores_gemma":[0.007837959,0.0002140281,0.0005786882,0.03402412,0.0005114763,0.0008352777,0.0009069014,0.0004304783,0.0005631732],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006919661,"about_ca_system_score_gemma":0.01304455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8466859,"about_ca_topic_score_gemma":0.8436905,"domain_scores_codex":[0.9992575,0.00007940802,0.00004741045,0.00007860063,0.0004021431,0.0001349228],"domain_scores_gemma":[0.9951022,0.001276908,0.0004248219,0.0001361028,0.002758,0.0003019475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008543067,0.0001078764,0.301315,0.002453802,0.0004078121,0.00127569,0.03985101,0.011768,0.02781691,0.04346401,0.05341321,0.5172724],"study_design_scores_gemma":[0.00004975824,0.0001031056,0.8024592,0.0004990684,0.0003419497,0.0004571413,0.01864471,0.02534345,0.009776354,0.006049535,0.1359705,0.000305212],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932498,0.003734497,0.008610685,0.003155051,0.0001820379,0.0001431623,0.02445965,0.002268254,0.06419683],"genre_scores_gemma":[0.9564943,0.00287597,0.02186086,0.0001004075,0.00004066205,0.00008936053,0.006310583,0.000166837,0.012061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9930803,"threshold_uncertainty_score":0.3084339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821450705543486,"score_gpt":0.2828759752853974,"score_spread":0.2446614682299626,"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."}}