{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009203312,0.0004370935,0.0004859141,0.03085588,0.000928192,0.003697479,0.0007238694,0.000522545,0.009630504],"category_scores_gemma":[0.06505068,0.0002522813,0.0006208319,0.02395722,0.0007527536,0.004527144,0.003105111,0.0007863891,0.003918769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560597,"about_ca_system_score_gemma":0.001559323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008305844,"about_ca_topic_score_gemma":0.009759481,"domain_scores_codex":[0.9922348,0.001695278,0.001090898,0.0004147706,0.003917874,0.0006463325],"domain_scores_gemma":[0.8755909,0.04702653,0.02138246,0.003353454,0.04738932,0.005257373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008389091,0.0003960274,0.6659201,0.004365651,0.0002514021,0.0005302526,0.02392066,0.0006682781,0.003067713,0.003413621,0.08868043,0.2079469],"study_design_scores_gemma":[0.00001774241,0.0002708501,0.9187745,0.0007612945,0.00007162522,0.0003336063,0.01301243,0.001268412,0.001748349,0.0004702007,0.06321341,0.00005754513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7817647,0.002229982,0.003149409,0.002267819,0.0001483264,0.001815039,0.1443259,0.001238768,0.06306002],"genre_scores_gemma":[0.8896376,0.001762379,0.01049252,0.0004175285,0.0004180686,0.003580679,0.08110748,0.0005024999,0.0120812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9691441,"threshold_uncertainty_score":0.04867238,"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."}}