{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001705464,0.001309191,0.0009547931,0.005827121,0.001872074,0.002733552,0.001679365,0.001034122,0.06979842],"category_scores_gemma":[0.006226374,0.0005712417,0.0005167427,0.005740566,0.0006106028,0.002842346,0.001695748,0.001071207,0.03776673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003950376,"about_ca_system_score_gemma":0.005246844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2860984,"about_ca_topic_score_gemma":0.3632011,"domain_scores_codex":[0.99852,0.0002365797,0.00009490181,0.0003054931,0.0006267398,0.0002163749],"domain_scores_gemma":[0.9957431,0.0006760785,0.0002677807,0.0009616127,0.001770273,0.0005811162],"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":[0.0008377937,0.00007517383,0.004406295,0.0009433547,0.00004884019,0.0003198212,0.001201481,0.0004423741,0.003714142,0.003584524,0.9074721,0.07695415],"study_design_scores_gemma":[0.00005151643,0.00003683733,0.007915225,0.0001022837,0.00001259656,0.000113776,0.0003544752,0.001386955,0.001697295,0.0005980965,0.9876871,0.00004393032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01432377,0.001124269,0.007453226,0.0006731724,0.0005278784,0.0007492754,0.8822888,0.03668315,0.05617648],"genre_scores_gemma":[0.03395126,0.0005178389,0.01006442,0.0003226267,0.0001647201,0.0008107438,0.892829,0.004768582,0.05657084],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2860984,"threshold_uncertainty_score":0.5688663,"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."}}