{"id":"W4250473012","doi":"10.31219/osf.io/5vyzj","title":"Data Visualization + Scrollytelling for Election News Stories : Challenges and Perspectives","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Newspaper; Narrative; Context (archaeology); Visualization; Computer science; Media studies; Sociology; History; Art; Literature; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01932759,0.001042598,0.0005049519,0.002421489,0.004381702,0.016172,0.002605754,0.002062893,0.00712837],"category_scores_gemma":[0.03652585,0.0004386385,0.0006659724,0.003047408,0.005672963,0.008704712,0.004886836,0.00257831,0.001308414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002743483,"about_ca_system_score_gemma":0.002433344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01734451,"about_ca_topic_score_gemma":0.03015291,"domain_scores_codex":[0.9806945,0.01569444,0.0003586234,0.0006760038,0.001891457,0.0006848864],"domain_scores_gemma":[0.9563584,0.03324236,0.001162134,0.003873508,0.00392535,0.001438133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005241758,0.0003944625,0.01313712,0.003897431,0.00007902867,0.005791503,0.4307962,0.006783514,0.009568048,0.1563719,0.09378953,0.2788671],"study_design_scores_gemma":[0.00006049396,0.0002020203,0.005384417,0.00201721,0.00004216068,0.002702404,0.2635849,0.01286037,0.006008373,0.03088427,0.6761016,0.0001517691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3550384,0.01026701,0.293556,0.1066835,0.002118526,0.001331774,0.003490037,0.004864253,0.2226505],"genre_scores_gemma":[0.7452078,0.004093984,0.2199257,0.002978827,0.0005779665,0.0006919673,0.002040849,0.001586987,0.02289599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932759,"threshold_uncertainty_score":0.1022153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610773299808418,"score_gpt":0.3783403905368621,"score_spread":0.2172630605560203,"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."}}