{"id":"W2146311251","doi":"10.5840/cpsem2004/200522","title":"Too Many Signs","year":2004,"lang":"en","type":"book-chapter","venue":"Semiotics","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001926132,0.0006250467,0.0005964361,0.000227232,0.00008070624,0.00005949245,0.0004873888,0.000826226,0.002867506],"category_scores_gemma":[0.00006140109,0.0006714655,0.0002965383,0.00003956084,0.0002028071,0.00006047209,0.0001961495,0.0009030236,0.07335337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008235242,"about_ca_system_score_gemma":0.0003305818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000103345,"about_ca_topic_score_gemma":0.0000123965,"domain_scores_codex":[0.9978282,0.00001202236,0.000465528,0.0005503676,0.0006490232,0.0004948271],"domain_scores_gemma":[0.9981797,0.00007848919,0.0003199254,0.00105073,0.0001564186,0.000214695],"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":[0.0000138291,0.00002660454,0.000006476524,0.00009469563,0.0001685788,0.0002705976,0.0001120963,0.000418026,0.0003571995,0.8756245,0.1225559,0.0003514415],"study_design_scores_gemma":[0.0003626491,0.00009834363,0.00001129991,0.0004348139,0.0002765226,0.00003513486,0.000006133828,0.00002369992,0.0002570567,0.1898983,0.8077056,0.0008904323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001524506,0.0005289592,0.0002169172,0.0001464964,0.0006462355,0.0003623328,0.0006004475,0.000479385,0.997004],"genre_scores_gemma":[0.002731449,0.0001496145,0.002248853,0.0005726082,0.0008866669,0.00000158745,0.0002961222,0.0007674726,0.9923456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6857263,"threshold_uncertainty_score":0.9995736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02884725448718354,"score_gpt":0.2478762971227531,"score_spread":0.2190290426355696,"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."}}