{"id":"W4296666812","doi":"10.2196/38839","title":"Data Exploration and Classification of News Article Reliability: Deep Learning Study","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Misinformation; Readability; Computer science; Artificial intelligence; Reliability (semiconductor); Machine learning; Natural language processing; Newspaper; False accusation; Sentiment analysis; Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004060089,0.001153565,0.0007858449,0.003035667,0.0004798497,0.0008642726,0.001136921,0.001364352,0.000581444],"category_scores_gemma":[0.01411884,0.0003256028,0.0009700999,0.001978426,0.0006837209,0.001249876,0.0007847729,0.001771321,0.0003566919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173037,"about_ca_system_score_gemma":0.0008197676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116997,"about_ca_topic_score_gemma":0.008963473,"domain_scores_codex":[0.998471,0.000534489,0.0002074833,0.0002626837,0.0003655119,0.0001588777],"domain_scores_gemma":[0.9818925,0.01341926,0.0012323,0.000810259,0.002250393,0.0003952474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001781937,0.003143404,0.2188877,0.001142895,0.0007497384,0.001396974,0.001185091,0.334921,0.006990624,0.001117251,0.01568379,0.4129997],"study_design_scores_gemma":[0.00003255852,0.0002928197,0.01466853,0.00005414079,0.00007461909,0.0001512505,0.0002887114,0.9795278,0.003168252,0.0007475172,0.0009715639,0.00002205378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778972,0.002146881,0.01523522,0.001267003,0.00009966443,0.00009678499,0.001605205,0.0005130611,0.001138953],"genre_scores_gemma":[0.9829008,0.0003935815,0.01188567,0.0001366633,0.00007879306,0.00005300965,0.003588341,0.00002823544,0.000934884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01116997,"threshold_uncertainty_score":0.02220988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1809602396162976,"score_gpt":0.4199787089748023,"score_spread":0.2390184693585047,"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."}}