{"id":"W4233406552","doi":"10.1075/bct.11.05mit","title":"Grammars and the community","year":2007,"lang":"en","type":"book-chapter","venue":"Benjamins current topics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rule-based machine translation; Computer science; Programming language; Natural language processing","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":[],"consensus_categories":[],"category_scores_codex":[0.001032245,0.0001505145,0.000191282,0.00007065883,0.0008398531,0.00007887156,0.000316666,0.0001983012,0.0003452719],"category_scores_gemma":[0.0002630278,0.0001153502,0.00009166448,0.00003036796,0.0009079166,0.0000319955,0.00008591171,0.0008540627,0.00004602348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006966798,"about_ca_system_score_gemma":0.0002332916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223585,"about_ca_topic_score_gemma":0.007468448,"domain_scores_codex":[0.999046,0.000155239,0.0002180097,0.0001144015,0.0002673058,0.0001989866],"domain_scores_gemma":[0.9989892,0.0003514367,0.000136237,0.0003065226,0.00009125009,0.0001254002],"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":[0.00000345752,0.00001134096,0.00001928714,0.00001539264,0.000006492151,1.637044e-7,0.01639048,2.318871e-8,7.534368e-9,0.6687475,0.002483115,0.3123227],"study_design_scores_gemma":[0.0002245311,0.000005378716,0.0001238361,0.0000429227,0.00002730592,4.336852e-7,0.0008057777,0.000002370116,1.952098e-7,0.03500196,0.9636414,0.0001238838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003162342,0.002428884,0.00001992217,0.002231918,0.001808133,0.0003287977,0.00001803277,0.00004335318,0.9928047],"genre_scores_gemma":[0.002717911,0.007384616,0.00008301016,0.0007882117,0.002950317,0.000006422927,0.00004948487,0.00002132015,0.9859987],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9611583,"threshold_uncertainty_score":0.6459556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2615555853867647,"score_gpt":0.4934016795730646,"score_spread":0.2318460941862999,"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."}}