{"id":"W4402465635","doi":"10.29173/cais1849","title":"Imagining a Fuller Potential for Plain Language Summaries: A Case study of Canadian Science Publishing","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Publishing; Plain language; History; Library science; Sociology; Political science; Computer science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02138806,0.0005837507,0.000496408,0.005250905,0.02439053,0.0134295,0.002504033,0.003431117,0.004682069],"category_scores_gemma":[0.1009016,0.0004899799,0.0005564332,0.01349651,0.008644329,0.006954005,0.00484615,0.002696172,0.0007010905],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04732327,"about_ca_system_score_gemma":0.06147271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7285962,"about_ca_topic_score_gemma":0.8826526,"domain_scores_codex":[0.9673898,0.01921371,0.001552447,0.001155823,0.008520517,0.00216766],"domain_scores_gemma":[0.8380614,0.115627,0.008389208,0.005455991,0.02452552,0.007940907],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"case_report","study_design_scores_codex":[0.00020508,0.000243052,0.01595999,0.0007518325,0.00003920891,0.009229547,0.885233,0.000706765,0.001898207,0.01815648,0.01740756,0.05016927],"study_design_scores_gemma":[0.00005895042,0.0001681951,0.01297063,0.0004910526,0.00006919471,0.001578741,0.7705976,0.000819602,0.001602195,0.003469882,0.2080428,0.0001311056],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8829689,0.001977884,0.005145092,0.02944163,0.0002169052,0.0007270743,0.0009358644,0.0002501216,0.07833648],"genre_scores_gemma":[0.9665341,0.001933971,0.01369604,0.002409189,0.00008167023,0.0002048882,0.0004745104,0.000113326,0.01455232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9865705,"threshold_uncertainty_score":0.5460043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132970674587561,"score_gpt":0.2752116675737216,"score_spread":0.253881960827846,"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."}}