{"id":"W4412847289","doi":"10.18806/tesl.v42i1/1422","title":"Grammar for Science","year":2025,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Grammar; Linguistics; Sociology; Psychology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003254839,0.0000686381,0.0001136601,0.0001328046,0.001312175,0.0003037583,0.0002773873,0.000005765326,0.009471511],"category_scores_gemma":[0.0001960452,0.00005207697,0.00004994594,0.00007730979,0.0003577218,0.000137964,0.00003503957,0.00008897547,0.000001287201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904252,"about_ca_system_score_gemma":0.001561962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0602189,"about_ca_topic_score_gemma":0.6362828,"domain_scores_codex":[0.9992263,0.000007333678,0.0001519097,0.00009633906,0.0002718668,0.0002462143],"domain_scores_gemma":[0.9993934,0.00005499105,0.00005900177,0.0001026453,0.0003359622,0.00005398801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004918269,0.00001062367,0.00001842626,0.000008826806,0.00009488563,0.00001153026,0.001304757,0.00001117085,0.00002360792,0.4523006,0.5392753,0.006935322],"study_design_scores_gemma":[0.0001491398,0.00001464919,0.00006676879,0.00002204691,0.00006509281,0.000003852247,0.007569666,0.00006105686,0.0000810612,0.006814012,0.9850739,0.00007877553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01708817,0.05411691,0.001333557,0.02076388,0.009442177,0.0003709208,0.0001006023,0.00007140126,0.8967124],"genre_scores_gemma":[0.9154072,0.00002535645,0.00035418,0.04278607,0.001362613,0.00001356717,0.00000206196,0.0000108261,0.04003807],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8983191,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500759143141056,"score_gpt":0.2662916581155489,"score_spread":0.2512840666841384,"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."}}