{"id":"W4402465638","doi":"10.29173/cais1855","title":"“O Author, Where Art Thou?” An Analysis of Affiliation Indexing in Canadian Journals and Bibliometric Research Potential","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Thou; Bibliometrics; Search engine indexing; Library science; History; Computer science; Information retrieval; Philosophy; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004617965,0.0001299934,0.0003515354,0.01782115,0.000248979,0.012147,0.001110042,0.0001260582,0.0001054036],"category_scores_gemma":[0.01000112,0.0001044869,0.0001111018,0.009261401,0.000352801,0.01632231,0.0002351438,0.0006057987,9.455642e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057676,"about_ca_system_score_gemma":0.0004584726,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07344536,"about_ca_topic_score_gemma":0.08900584,"domain_scores_codex":[0.9981765,0.0001088486,0.0005100246,0.0002281132,0.0006306483,0.0003458356],"domain_scores_gemma":[0.9717476,0.0002080221,0.000311501,0.0001938014,0.02736535,0.0001737352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009301329,0.0001933874,0.5337571,0.0005523952,0.0006422641,0.000003346921,0.2951154,0.00005722353,0.007189269,0.1361669,0.008281533,0.01794822],"study_design_scores_gemma":[0.0003182888,0.0003181871,0.8383445,0.001036838,0.000436018,0.000008775791,0.02962274,0.01762976,0.0009687799,0.01115809,0.09981856,0.000339534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850043,0.00152361,0.000003416483,0.00387466,0.0001005849,0.0001412792,0.0001600437,0.00001757509,0.009174526],"genre_scores_gemma":[0.9984785,0.0003265366,0.00005490992,0.00002275439,0.00007677743,0.000008820017,0.00001271295,0.00001302854,0.001005919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3045874,"threshold_uncertainty_score":0.998338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0907307670514184,"score_gpt":0.3394581800387351,"score_spread":0.2487274129873167,"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."}}