{"id":"W2886075504","doi":"10.1075/pbns.292.06bee","title":"Metacommenting in English and French","year":2018,"lang":"en","type":"book-chapter","venue":"Pragmatics & beyond. New series","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Pragmatics; Subjectivity; sort; Intersubjectivity; Negotiation; Selection (genetic algorithm); Personal pronoun; French; Sociology; History; Computer science; Philosophy; Artificial intelligence; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007785662,0.0002174516,0.0003914483,0.0001524735,0.000250461,0.0001572601,0.0002162491,0.0003580755,0.002943844],"category_scores_gemma":[0.001743344,0.0002300796,0.00005221535,0.0000512532,0.0003471466,0.0001554533,0.0001467203,0.0002734394,0.00006400224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006792232,"about_ca_system_score_gemma":0.0003245112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008581725,"about_ca_topic_score_gemma":0.008622193,"domain_scores_codex":[0.9986247,0.00007209316,0.0004345701,0.0002788747,0.0002979018,0.0002918291],"domain_scores_gemma":[0.9988818,0.0002542003,0.0003043874,0.0002085546,0.0002091871,0.0001418466],"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":[0.000003320169,0.000008699662,0.0001394676,0.00003254754,0.00004039719,0.000009849264,0.06767368,1.809103e-7,0.000001905991,0.9100442,0.02060223,0.001443524],"study_design_scores_gemma":[0.0001644825,0.00002595903,0.00004621016,0.00005225548,0.00005354247,0.000001348107,0.001021992,0.000003415559,0.000004034755,0.2638033,0.7346374,0.0001860334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002748459,0.0004819302,0.0001412762,0.001843952,0.00167597,0.0002921923,0.00001632817,0.0001028188,0.9951707],"genre_scores_gemma":[0.003004018,0.000943068,0.01585332,0.001095267,0.002936339,0.00001132104,0.00005057818,0.00005281951,0.9760532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7140352,"threshold_uncertainty_score":0.9979676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146682993603774,"score_gpt":0.2819013260214252,"score_spread":0.2604344960853875,"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."}}