{"id":"W2620063908","doi":"10.29173/cais675","title":"Trends, Icons, and Feelings: Notions of Affect within Canadian User-Generated Content","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Rhetoric and Communication Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Affect (linguistics); Metadata; Feeling; The Internet; World Wide Web; Psychology; Humanities; Computer science; Social psychology; Art; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003565294,0.0004108362,0.0002460977,0.008374226,0.006244436,0.008220746,0.000589543,0.0006582823,0.003559743],"category_scores_gemma":[0.01490799,0.0002542529,0.0002647889,0.007515687,0.006998272,0.002959045,0.002309402,0.0008099434,0.0002185338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01828058,"about_ca_system_score_gemma":0.008577088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5652906,"about_ca_topic_score_gemma":0.5925755,"domain_scores_codex":[0.9967328,0.0009969166,0.0001223839,0.0002899226,0.001452523,0.000405419],"domain_scores_gemma":[0.9931048,0.003625242,0.0008139345,0.0002680048,0.001729847,0.0004582117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001532649,0.00002123272,0.07335745,0.0002188124,0.00003187558,0.0003392828,0.8517352,0.0003751829,0.004442765,0.02535652,0.002276819,0.04169156],"study_design_scores_gemma":[0.000009999847,0.00007008338,0.2510102,0.0002535598,0.00005811463,0.0003249071,0.6526009,0.001681421,0.001727441,0.00560712,0.08650196,0.0001543967],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8576294,0.0009757122,0.003990161,0.001855123,0.00008092249,0.0001130295,0.0007203266,0.0001009905,0.1345344],"genre_scores_gemma":[0.994408,0.0003817186,0.00102605,0.00008705283,0.00001968204,0.00004152601,0.0001361115,0.00002942765,0.003870419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4347094,"threshold_uncertainty_score":0.8745389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05559143465736109,"score_gpt":0.2430601373310527,"score_spread":0.1874687026736916,"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."}}