{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008809252,0.001001808,0.0007584463,0.001411507,0.00306236,0.009527262,0.0009264302,0.002216868,0.1055602],"category_scores_gemma":[0.0029053,0.0006391323,0.0004624655,0.001475895,0.006191182,0.01534384,0.004097103,0.004604718,0.04336513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419029,"about_ca_system_score_gemma":0.001425713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000954698,"about_ca_topic_score_gemma":0.002070012,"domain_scores_codex":[0.998754,0.0005596277,0.0000565788,0.0001568158,0.0003619543,0.0001110021],"domain_scores_gemma":[0.9989956,0.0003519515,0.00003367826,0.0003051872,0.0002275429,0.00008602587],"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":[0.00001385067,0.00001031608,0.00003958544,0.00009057664,0.000002508528,0.0000409681,0.0007847982,0.0000704916,0.0003117246,0.8977653,0.04689797,0.05397195],"study_design_scores_gemma":[0.000004807344,0.000009698681,0.00004698586,0.0001783814,0.000004835216,0.0001962792,0.0007846408,0.0001519367,0.0003555511,0.2820807,0.7161751,0.00001093788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001157181,0.002884212,0.02170722,0.004863603,0.00132688,0.00002094876,0.000107542,0.0002945855,0.9676378],"genre_scores_gemma":[0.06972212,0.006146112,0.01608017,0.003001915,0.000953724,0.0001144825,0.0002935891,0.001106958,0.9025809],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1055602,"threshold_uncertainty_score":0.3531339,"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."}}