{"id":"W4238592682","doi":"10.32920/ryerson.14658054.v1","title":"Subject matter identification by means of community outreach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Outreach; Subject (documents); Subject matter; Section (typography); Identification (biology); Library science; Sociology; Computer science; Political science; Pedagogy; Law; Ecology; Curriculum","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008165361,0.0008189896,0.0005540211,0.002394987,0.008687279,0.004230083,0.001692991,0.001116151,0.06402752],"category_scores_gemma":[0.008357462,0.0004383329,0.0003309832,0.001833,0.001874102,0.002737205,0.008069927,0.001569257,0.02757615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475465,"about_ca_system_score_gemma":0.006559049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666831,"about_ca_topic_score_gemma":0.005843965,"domain_scores_codex":[0.9951361,0.002426339,0.0002394437,0.0007871456,0.0009485728,0.0004624725],"domain_scores_gemma":[0.9940374,0.001515063,0.0004122488,0.001312112,0.001507678,0.001215563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002409704,0.001278771,0.004059158,0.0008687701,0.00000704864,0.001493387,0.1557467,0.0001811531,0.01946918,0.02264281,0.1395489,0.6544633],"study_design_scores_gemma":[0.00004704112,0.000390019,0.003049708,0.0003804933,0.000005925719,0.0005585033,0.05665794,0.0002213319,0.003355996,0.004441223,0.9308665,0.00002538598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1864456,0.001842805,0.1662501,0.009505922,0.00343903,0.02833699,0.001192112,0.002643463,0.6003441],"genre_scores_gemma":[0.1982938,0.001637346,0.1967765,0.002632285,0.0007387837,0.01608765,0.001358678,0.0008558651,0.5816191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06402752,"threshold_uncertainty_score":0.2141934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1360874043794049,"score_gpt":0.2647292948601416,"score_spread":0.1286418904807367,"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."}}