{"id":"W4315569767","doi":"10.32384/jeahil18526","title":"Turning student assignments into publications: Benefits for librarians and students","year":2022,"lang":"en","type":"article","venue":"Journal of EAHIL","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Graduate students; Library science; Medical education; Computer science; Psychology; Mathematics education; Pedagogy; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001374986,0.00004657395,0.00009342159,0.0001658875,0.001008766,0.0004982579,0.0005588178,0.00001769853,0.0002694138],"category_scores_gemma":[0.000166754,0.00004100708,0.00004822744,0.0002867944,0.00004734729,0.007890574,0.0001379593,0.0001181604,0.000002058924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006716347,"about_ca_system_score_gemma":0.0002058559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087414,"about_ca_topic_score_gemma":0.000001371769,"domain_scores_codex":[0.9985662,0.00008578861,0.000345255,0.00006707,0.0007980633,0.0001376249],"domain_scores_gemma":[0.9992061,0.0001273979,0.0003729495,0.00006283733,0.0001039561,0.0001267759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007189934,0.0005582902,0.4726833,0.00001885308,0.000126295,0.000003060072,0.2473173,0.0009292317,0.00009922236,0.1720366,0.05911957,0.04703638],"study_design_scores_gemma":[0.0006507823,0.0002735776,0.09562429,0.00001511017,0.00001172468,0.00000642518,0.03045483,0.00005469671,0.00001429374,0.00348272,0.8693236,0.0000879641],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976496,0.0006274448,0.0004088142,0.01624598,0.0008918696,0.0003193745,0.00001176784,0.00002183015,0.004976865],"genre_scores_gemma":[0.991516,0.000142636,0.001880207,0.00331421,0.0003076797,0.00002524333,0.0000048067,0.000005312978,0.002803927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.810204,"threshold_uncertainty_score":0.775871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951630490352826,"score_gpt":0.3498606387719436,"score_spread":0.3203443338684154,"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."}}