{"id":"W4387860299","doi":"10.1002/pra2.903","title":"<scp>ChatGPT</scp> Media Coverage Metrics; Initial Examination","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; Western University","funders":"","keywords":"Media coverage; Guardian; Government (linguistics); Legislation; Advertising; Social media; Political science; Geography; Business; Media studies; Sociology; Law","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":[0.002644271,0.00006437418,0.0001294573,0.001442633,0.0003344334,0.00006798085,0.0001876555,0.0001699099,0.000001135936],"category_scores_gemma":[0.0290132,0.00005139403,0.00002930832,0.005726333,0.0001845948,0.001383276,0.00008018222,0.0001243879,0.00002180548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579204,"about_ca_system_score_gemma":0.0002168809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008884536,"about_ca_topic_score_gemma":0.000001381931,"domain_scores_codex":[0.9986341,0.000002664532,0.0003829618,0.0001109015,0.0006337666,0.0002355904],"domain_scores_gemma":[0.9956083,0.0003302173,0.0005189752,0.00006850429,0.00342742,0.00004655175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001744709,0.00007668172,0.3640941,0.0004364189,0.00003920598,7.026015e-8,0.01741661,0.000005372066,0.01270399,0.1870572,0.01683893,0.401314],"study_design_scores_gemma":[0.0004839617,0.0004257494,0.2632124,0.0001223624,0.00009643994,0.00001636268,0.03018109,0.005873891,0.5703809,0.05497229,0.07410759,0.0001269979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870646,0.0000116467,0.00005322764,0.004609276,0.0004231327,0.0005224562,0.00001122597,0.0001271313,0.007177278],"genre_scores_gemma":[0.9991925,0.00009001863,0.000136907,0.0002272377,0.00005370808,0.00006491476,0.00001166696,0.000003541308,0.0002195029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5576769,"threshold_uncertainty_score":0.9791659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06028939351300797,"score_gpt":0.3600725792888472,"score_spread":0.2997831857758392,"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."}}