{"id":"W4290546100","doi":"10.29173/cais1267","title":"Phylomemetics as a framework for bibliographic synthesis","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cornerstone; Subject (documents); Archetype; Character (mathematics); Computer science; Information retrieval; Literature; History; World Wide Web; Art; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01165549,0.001306141,0.001260239,0.01774912,0.003847645,0.01800156,0.003030163,0.001662506,0.02041784],"category_scores_gemma":[0.01648961,0.0009903167,0.001895214,0.01301331,0.01219384,0.01439458,0.007318652,0.003340171,0.004068022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007340036,"about_ca_system_score_gemma":0.004992774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004123945,"about_ca_topic_score_gemma":0.005828817,"domain_scores_codex":[0.9911277,0.006048584,0.0009417165,0.0007824088,0.0008919442,0.0002076574],"domain_scores_gemma":[0.9897274,0.006654125,0.0007998756,0.001555977,0.0008784899,0.0003841002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008923057,0.000006181787,0.00008456729,0.0001112798,0.000006797632,0.00006795238,0.002007485,0.0005288829,0.0001305589,0.9851381,0.001078698,0.01083058],"study_design_scores_gemma":[0.00001688697,0.00001041279,0.0001479462,0.000318278,0.00001374705,0.0001652473,0.002271689,0.004345661,0.0003293926,0.7538711,0.2384888,0.00002080186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003875148,0.002787152,0.9015271,0.003785335,0.0004225013,0.0004799798,0.00151211,0.001481512,0.08412906],"genre_scores_gemma":[0.06881258,0.001894961,0.9104197,0.0003570349,0.0002962762,0.001615933,0.002349078,0.0006629273,0.01359156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9822509,"threshold_uncertainty_score":0.06830448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925929439110902,"score_gpt":0.2522828965465527,"score_spread":0.2030236021554437,"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."}}