{"id":"W4236002807","doi":"10.32920/14637999.v1","title":"Promoting Professionalism and Academic Librarianship: Observations on the Marketing of the M.L.S.","year":2021,"lang":"en","type":"article","venue":"","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Academic library; Library science; Public relations; Academic community; Political science; Sociology; Business; Marketing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008486021,0.0002207598,0.0003397397,0.003111146,0.0103237,0.01131912,0.0006118506,0.003100083,0.008981761],"category_scores_gemma":[0.02748876,0.0003738227,0.0003488754,0.002982086,0.009644965,0.005191993,0.004848006,0.004139005,0.001749846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007967756,"about_ca_system_score_gemma":0.005649661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300874,"about_ca_topic_score_gemma":0.01695183,"domain_scores_codex":[0.993207,0.003555137,0.0001608203,0.0004214621,0.001773955,0.0008815738],"domain_scores_gemma":[0.9512165,0.03172734,0.004556447,0.001060628,0.004775942,0.00666322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005151991,0.001210679,0.0919572,0.0007142978,0.00003786076,0.001699202,0.5384951,0.00009007624,0.002927791,0.09454377,0.06113992,0.206669],"study_design_scores_gemma":[0.00008119183,0.0004407332,0.1645691,0.0005875893,0.00003533949,0.0009535443,0.2771883,0.0002946442,0.002332649,0.01345453,0.5399689,0.00009330349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5396905,0.00524472,0.0009292961,0.07045742,0.0002225274,0.0001114435,0.00008026254,0.0001255387,0.3831383],"genre_scores_gemma":[0.9685542,0.001908477,0.0003321318,0.007997612,0.0003409586,0.0000333832,0.0000225594,0.00006108926,0.02074965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01300874,"threshold_uncertainty_score":0.05781037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095136516795861,"score_gpt":0.3261960893974021,"score_spread":0.216682437717816,"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."}}