{"id":"W2078343981","doi":"10.1075/li.35.2.07lan","title":"Texto4Science","year":2012,"lang":"en","type":"article","venue":"Lingvisticae Investigationes","topic":"Digital Communication and Language","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Period (music); Library science; Computer science; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002559777,0.00007156251,0.00006250272,0.0000594855,0.0001366423,0.00023347,0.0007440613,0.00002388095,0.00001974166],"category_scores_gemma":[0.0004268616,0.00006438577,0.00002256555,0.0003773851,0.0001275329,0.001032989,0.0001923848,0.00006818533,0.0004391759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000132728,"about_ca_system_score_gemma":0.00003331129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006347559,"about_ca_topic_score_gemma":5.53214e-7,"domain_scores_codex":[0.9992986,0.0000363291,0.0001419746,0.0001251481,0.0001808127,0.0002171391],"domain_scores_gemma":[0.9990336,0.0001260282,0.00005149725,0.0005444101,0.00004712154,0.000197368],"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":[1.457955e-7,0.00002589907,0.001522844,0.000002596285,0.00000131396,2.663588e-7,0.0004281711,0.000004644789,0.0005670632,0.9897763,0.0002289075,0.007441912],"study_design_scores_gemma":[0.0004739397,0.0000872452,0.09018178,0.00008767134,0.00001754362,0.00009089892,0.0003283641,0.04645067,0.02536482,0.1868888,0.6488207,0.001207619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03685819,0.0006671993,0.593994,0.004447021,0.0004835566,0.0001571777,0.000002538357,0.0007872225,0.3626031],"genre_scores_gemma":[0.9171613,0.00000223261,0.08084948,0.001364839,0.00004926084,0.000008228095,0.000003463669,0.000003846769,0.0005572922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8803031,"threshold_uncertainty_score":0.5644864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041470999617657,"score_gpt":0.2648391593443696,"score_spread":0.234424449348193,"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."}}