{"id":"W2483685392","doi":"10.5840/cpsem200035","title":"Shortcuts to Meaning, or Diagrams and Making Sense Out of Image-text De-signs","year":2000,"lang":"en","type":"book-chapter","venue":"Semiotics","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Image (mathematics); Sense (electronics); Computer science; Linguistics; Psychology; Artificial intelligence; Philosophy; Engineering; Psychotherapist","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":[0.002056044,0.001341125,0.0006771284,0.002289543,0.002638651,0.009688262,0.001240242,0.002410423,0.0202031],"category_scores_gemma":[0.008687937,0.0005805937,0.0005423886,0.001959775,0.02266304,0.02163029,0.003380037,0.004883818,0.004399349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175807,"about_ca_system_score_gemma":0.001575944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00132961,"about_ca_topic_score_gemma":0.001937677,"domain_scores_codex":[0.9978831,0.001299893,0.0001050853,0.000248631,0.0003595925,0.0001036108],"domain_scores_gemma":[0.9954672,0.003163093,0.0001770224,0.0006618657,0.0003871956,0.0001435741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008097642,0.000002554396,0.00002224702,0.00006140276,0.00000158367,0.00002783094,0.004239383,0.00004331201,0.0001725483,0.9829321,0.004080339,0.008408437],"study_design_scores_gemma":[0.000008012917,0.00001509488,0.00006187785,0.0001682143,0.000005884456,0.0001863591,0.003254077,0.0004537201,0.0006620815,0.7589927,0.2361809,0.00001093099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009208829,0.009853294,0.3359577,0.01571725,0.00293918,0.0001218641,0.0003142516,0.001012062,0.6248755],"genre_scores_gemma":[0.5029359,0.009281384,0.1500578,0.00343409,0.002039523,0.000601101,0.0006361285,0.003338654,0.3276755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0202031,"threshold_uncertainty_score":0.06758606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07187899068345076,"score_gpt":0.2630259210605205,"score_spread":0.1911469303770697,"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."}}