{"id":"W3176959965","doi":"10.3389/fcomm.2021.624334","title":"Fictive Deixis, Direct Discourse, and Viewpoint Networks","year":2021,"lang":"en","type":"article","venue":"Frontiers in Communication","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Université de Namur; Masarykova Univerzita; Universität zu Köln; Social Sciences and Humanities Research Council of Canada; Universiteit Leiden","keywords":"Deixis; Linguistics; Context (archaeology); Relation (database); Common ground; Computer science; Sociology; Communication; Geography; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003129037,0.00009466452,0.0001757101,0.00005021713,0.00009442843,0.00003014581,0.0001478979,0.0001044125,0.0001223919],"category_scores_gemma":[0.00005138065,0.00009546884,0.00003813974,0.0002200652,0.00009694173,0.0001000538,0.00008680022,0.0002464105,0.0000100573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004671669,"about_ca_system_score_gemma":0.00001561695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009588384,"about_ca_topic_score_gemma":0.0001753693,"domain_scores_codex":[0.9988296,0.0005430934,0.0001861418,0.0002110111,0.00007033544,0.0001598121],"domain_scores_gemma":[0.9990981,0.00009412654,0.00007587246,0.00064401,0.00005059176,0.00003728491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002022421,0.0007570185,0.08554442,0.00003228409,0.0003603261,0.00005689619,0.02573264,0.00009270358,0.00007286457,0.02344022,0.1053239,0.7583844],"study_design_scores_gemma":[0.005524069,0.0002157627,0.6669856,0.0005965658,0.0004489548,0.0001067468,0.1309364,0.01140448,0.0007682394,0.05862142,0.1229077,0.001483962],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1570883,0.3104315,0.1317794,0.004938314,0.003716811,0.0008405381,0.0000389676,0.0002011375,0.390965],"genre_scores_gemma":[0.9866446,0.005023828,0.006203378,0.000524196,0.00005908402,0.00008750834,0.0001996372,0.00001664062,0.001241141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8295563,"threshold_uncertainty_score":0.3893106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658690483289348,"score_gpt":0.3035947767027237,"score_spread":0.2870078718698302,"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."}}