{"id":"W3023108180","doi":"10.3765/amp.v8i0.4673","title":"Constraint summation in phonological theory","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Annual Meetings on Phonology","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Agence Nationale de la Recherche","keywords":"Constraint (computer-aided design); Corollary; Optimal distinctiveness theory; Optimality theory; Set (abstract data type); Mathematics; Computer science; Phonology; Linguistics; Discrete mathematics; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009121197,0.00021477,0.0004069245,0.0001604464,0.00008041118,0.0000165629,0.0009457697,0.0004099959,0.0005454228],"category_scores_gemma":[0.001477263,0.0001567971,0.000104122,0.0005295275,0.000759293,0.00007325037,0.0003377916,0.000929688,0.0002330875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003723513,"about_ca_system_score_gemma":0.00004558781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007322546,"about_ca_topic_score_gemma":0.000004241989,"domain_scores_codex":[0.9980771,0.0001115101,0.0005057816,0.0005253325,0.000222918,0.0005573476],"domain_scores_gemma":[0.9987757,0.0003533027,0.0002946822,0.0001611972,0.0003088547,0.00010622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.004611569,0.0008838244,0.05374179,0.0001242135,0.0002372412,0.00001943314,0.0749565,0.00001561457,0.1494956,0.6681843,0.02540685,0.02232298],"study_design_scores_gemma":[0.006506391,0.005071476,0.5971555,0.0002200024,0.0000775309,0.0001641625,0.03889921,0.0001212441,0.1500079,0.1801884,0.02051282,0.001075433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271421,0.0001218074,0.000003673832,0.01209649,0.0003171728,0.0003718885,0.00002789604,0.00006393661,0.059855],"genre_scores_gemma":[0.9971784,0.00002074408,0.00009968082,0.002229542,0.0001042789,0.00005994688,0.00000180385,0.00001886354,0.0002867082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5434137,"threshold_uncertainty_score":0.6393999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404866712762301,"score_gpt":0.3030190194803588,"score_spread":0.2689703523527358,"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."}}