{"id":"W6910585091","doi":"10.48448/bc63-ev10","title":"BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Persuasion; Disinformation; Task (project management); Social media; Task analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001654066,0.0005850035,0.0006397572,0.003253976,0.0001238743,0.0001582417,0.0006111586,0.0003638683,0.0006269346],"category_scores_gemma":[0.0004643571,0.0005228369,0.00008856183,0.002392282,0.002138196,0.000663868,0.0007751231,0.0005064832,0.001291607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006413895,"about_ca_system_score_gemma":0.0005956214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024022,"about_ca_topic_score_gemma":0.01005678,"domain_scores_codex":[0.9954168,0.0001110269,0.000713299,0.001549635,0.001527739,0.0006815089],"domain_scores_gemma":[0.9984357,0.0001000402,0.0004271343,0.000650359,0.0001667226,0.0002200761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000784505,0.002137283,0.003276508,0.00389295,0.0003983006,0.0004520733,0.07672877,0.002399581,0.5325658,0.004017052,0.2632966,0.1100507],"study_design_scores_gemma":[0.01025808,0.001992266,0.0006291089,0.01059831,0.0008329525,0.0001434223,0.04422595,0.63838,0.02466662,0.009422507,0.2526401,0.006210709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4279048,0.02944647,0.001305641,0.001398397,0.01119614,0.009463185,0.004235293,0.003048062,0.5120021],"genre_scores_gemma":[0.6419816,0.0004105224,0.01391022,0.00006512609,0.0005237436,0.00009352685,0.0002289135,0.001417184,0.3413692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6359804,"threshold_uncertainty_score":0.9997223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955352713770147,"score_gpt":0.327313320328255,"score_spread":0.2977597931905535,"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."}}