{"id":"W4389949216","doi":"10.5334/pme.1246","title":"Will ChatGPT’s Free Language Editing Service Level the Playing Field in Science Communication?: Insights from a Collaborative Project with Non-native English Scholars","year":2023,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Western University","funders":"","keywords":"Craft; CLARITY; Scientific writing; Computer science; Field (mathematics); Plain language; Experiential learning; Quality (philosophy); Psychology; Pedagogy; Linguistics; Visual arts","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001070026,0.0001653228,0.0002162991,0.0004648392,0.0006596217,0.00007545145,0.0005009826,0.0001512473,0.0001238905],"category_scores_gemma":[0.01908315,0.0001162382,0.00002628319,0.003606711,0.0003859727,0.0006246407,0.000104633,0.001053738,0.00004178433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005820816,"about_ca_system_score_gemma":0.005443105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155202,"about_ca_topic_score_gemma":0.00842726,"domain_scores_codex":[0.9976694,0.0002461943,0.0003513712,0.0004743084,0.0009479846,0.0003107709],"domain_scores_gemma":[0.9956501,0.001571406,0.0001834275,0.0007022339,0.001703153,0.0001897548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001793038,0.0004033036,0.008591444,0.00004057098,0.00002793624,0.000003351051,0.9780895,0.00001177036,0.0002869961,0.00195373,0.001859317,0.008552748],"study_design_scores_gemma":[0.000238989,0.0001794598,0.04345053,0.001112383,0.00002205159,0.000002434482,0.950569,0.001281557,0.001159074,0.001281148,0.0005533302,0.0001500748],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511805,0.0004015843,0.0001137691,0.04307677,0.0005627456,0.001001127,0.00001120699,0.00008040427,0.003571936],"genre_scores_gemma":[0.9936672,0.0002323769,0.0009211701,0.003545177,0.001041852,0.000346764,0.0001053677,0.00001971647,0.000120346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04248677,"threshold_uncertainty_score":0.9950302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08270598065389177,"score_gpt":0.4360953251951966,"score_spread":0.3533893445413048,"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."}}