{"id":"W4200100066","doi":"10.24917/20811861.19.29","title":"Prawda czy fałsz w polityce informacyjnej? Wiarygodność telewizyjnych newsów a opinie polskich widzów w pierwszym kwartale pandemii COVID-19","year":2021,"lang":"en","type":"article","venue":"Annales Universitatis Paedagogicae Cracoviensis | Studia ad Bibliothecarum Scientiam Pertinentia","topic":"Social Issues in Poland","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Context (archaeology); Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Ranking (information retrieval); Psychology; Advertising; Pandemic; Politics; Political science; History; Computer science; Business; Medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002029994,0.0001453834,0.0002684143,0.001978418,0.001499194,0.007233418,0.0002226166,0.0007691881,0.006341547],"category_scores_gemma":[0.00949127,0.0002216555,0.0001100833,0.003138559,0.00284595,0.0041103,0.001288622,0.001269709,0.00056973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806278,"about_ca_system_score_gemma":0.001189026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005921995,"about_ca_topic_score_gemma":0.006839016,"domain_scores_codex":[0.9987159,0.0004850533,0.00009056679,0.0001528724,0.0002730031,0.0002825834],"domain_scores_gemma":[0.9948202,0.003137392,0.001213217,0.0001192065,0.0004221283,0.0002878072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005123696,0.0002801453,0.2676282,0.001292762,0.0001059456,0.002526572,0.4309196,0.0004033651,0.002571853,0.09331463,0.01800329,0.1824413],"study_design_scores_gemma":[0.00002708953,0.0001681556,0.3338445,0.0005942909,0.00009036605,0.0007548773,0.4974447,0.0004681502,0.001368929,0.007389767,0.1577966,0.00005244211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366237,0.004156368,0.0005456203,0.01532956,0.0001276699,0.00005448494,0.0001551725,0.00001281046,0.04299475],"genre_scores_gemma":[0.9924154,0.002946013,0.0001398033,0.0004747773,0.00005968838,0.00002841225,0.00004249543,0.000006565694,0.003886849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007233418,"threshold_uncertainty_score":0.0212146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0795994756457898,"score_gpt":0.3970459160279203,"score_spread":0.3174464403821305,"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."}}