{"id":"W4393405198","doi":"10.1057/s41311-024-00564-x","title":"Putting Discourses About the War in Ukraine on a Map: How Different is Everyone’s Story?","year":2024,"lang":"en","type":"article","venue":"International Politics","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Political science; History","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":[],"consensus_categories":[],"category_scores_codex":[0.005887244,0.0008625987,0.0008176499,0.003975125,0.02336321,0.02648404,0.001668878,0.004879354,0.004770676],"category_scores_gemma":[0.01076123,0.0004628151,0.0004333614,0.004830325,0.02438581,0.0213991,0.01113931,0.008756093,0.0005028103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01509805,"about_ca_system_score_gemma":0.01034977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05225482,"about_ca_topic_score_gemma":0.03967267,"domain_scores_codex":[0.9932823,0.004907794,0.0001801599,0.0003184304,0.0004464989,0.0008647518],"domain_scores_gemma":[0.9932612,0.004255062,0.0006588917,0.0003000072,0.0008367734,0.000688035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002947998,0.00001468757,0.001886552,0.0001170897,0.00002281308,0.0005041317,0.8788223,0.0001915519,0.0001620275,0.1042388,0.006267268,0.007743123],"study_design_scores_gemma":[0.000002001375,0.000007542464,0.001819528,0.0002911467,0.00001474027,0.00009594711,0.9215537,0.0001208431,0.0001708892,0.02243396,0.05347465,0.00001496482],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4839516,0.00938078,0.005316481,0.2472259,0.002008938,0.0000480589,0.0005061739,0.0001253887,0.2514366],"genre_scores_gemma":[0.9947425,0.0009889714,0.0003118801,0.001593731,0.00007585317,0.0000114809,0.00005719662,0.00003720435,0.00218123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05225482,"threshold_uncertainty_score":0.1095445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072592332005455,"score_gpt":0.3595042537085273,"score_spread":0.3287783303884728,"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."}}