{"id":"W2481488250","doi":"10.5840/cpsem200924","title":"Figurative Deictic Use","year":2009,"lang":"en","type":"book-chapter","venue":"Semiotics","topic":"Classical Antiquity Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deixis; Literal and figurative language; Linguistics; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004440084,0.0008326426,0.0003530845,0.001317032,0.002888015,0.005293294,0.000832952,0.001073141,0.06114275],"category_scores_gemma":[0.00108883,0.0002542458,0.0003569608,0.001306484,0.005267045,0.003690403,0.001620847,0.002469616,0.01258417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002506321,"about_ca_system_score_gemma":0.0007570632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785655,"about_ca_topic_score_gemma":0.00591314,"domain_scores_codex":[0.9995764,0.0002028408,0.00001665706,0.00006722802,0.00009390347,0.00004292712],"domain_scores_gemma":[0.9996569,0.0001174983,0.00001758737,0.00009692581,0.000091838,0.00001919412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007442864,0.000003018832,0.0000119594,0.0000364619,0.000001098503,0.00002637359,0.0007633153,0.00004306345,0.0001573055,0.9681371,0.02252822,0.008284587],"study_design_scores_gemma":[0.000005252923,0.000006405754,0.00006650708,0.00006599473,0.000003565502,0.000123785,0.0005432774,0.0001619568,0.0003064278,0.1134868,0.8852255,0.000004681712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000879833,0.001273407,0.007514591,0.001333728,0.001136252,0.00002168057,0.000115061,0.0001016997,0.9876238],"genre_scores_gemma":[0.1004666,0.003372923,0.007822982,0.001128714,0.001276429,0.0001420096,0.0003227322,0.0005404307,0.8849271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06114275,"threshold_uncertainty_score":0.2045429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07034926545354012,"score_gpt":0.3232655965856648,"score_spread":0.2529163311321247,"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."}}