{"id":"W3022406833","doi":"10.11575/prism/37632","title":"“Flooded Timelines: The Communicative Roles &amp; Functions of Twitter in the 2013 Calgary Flood”","year":2020,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Timeline; Flood myth; Geography; Cartography; Archaeology","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":[0.002201702,0.0002680836,0.0002289256,0.002251049,0.005571042,0.004401243,0.0005394007,0.001050435,0.00208053],"category_scores_gemma":[0.005840512,0.0002037309,0.0001297404,0.002750498,0.004899606,0.004217594,0.003788089,0.001475673,0.0002728639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004805509,"about_ca_system_score_gemma":0.003303519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04927257,"about_ca_topic_score_gemma":0.1022602,"domain_scores_codex":[0.9991467,0.0004219517,0.00004114599,0.0000687333,0.0001612651,0.0001602926],"domain_scores_gemma":[0.9964861,0.002314577,0.0005641026,0.00008847685,0.0003479929,0.0001988238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008440458,0.00002413301,0.0172652,0.000333981,0.00001102467,0.001141386,0.9360163,0.0001192211,0.002013403,0.00548385,0.006027897,0.03147921],"study_design_scores_gemma":[0.000003077424,0.00002064104,0.02852656,0.0002756847,0.00001074484,0.0001373291,0.9250464,0.00009590957,0.0005766462,0.0005304455,0.04475696,0.00001943479],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633878,0.001189661,0.0007809668,0.00632271,0.0001908532,0.0000716045,0.0005249084,0.00002929699,0.02750213],"genre_scores_gemma":[0.9892642,0.002184041,0.0009064112,0.001399133,0.0001124523,0.0001420695,0.0002661427,0.00006055092,0.005664927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9507274,"threshold_uncertainty_score":0.09797156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644354375150363,"score_gpt":0.2399160428195617,"score_spread":0.2134724990680581,"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."}}