{"id":"W2591987444","doi":"10.7202/1038898ar","title":"Les chiffres et les lettres peuvent-ils se marier ? 15 ans de recherches au LADT","year":2014,"lang":"fr","type":"article","venue":"Revue de l’Université de Moncton","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01745562,0.0009563491,0.001156244,0.004169682,0.008024768,0.01363939,0.001867644,0.004638208,0.0255702],"category_scores_gemma":[0.03800019,0.0007203344,0.001139996,0.005263783,0.01136045,0.01091318,0.00672475,0.007193274,0.006700486],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02588905,"about_ca_system_score_gemma":0.02156352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08793663,"about_ca_topic_score_gemma":0.121199,"domain_scores_codex":[0.9825788,0.007816463,0.0007455397,0.001634506,0.005863287,0.001361363],"domain_scores_gemma":[0.9686262,0.01325356,0.001678051,0.00218115,0.01120055,0.003060583],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005840652,0.0002442896,0.008065908,0.002864946,0.0001412681,0.001118664,0.1516454,0.0006096036,0.007415493,0.2203697,0.2169719,0.3899687],"study_design_scores_gemma":[0.0000188767,0.000106012,0.00891371,0.003025192,0.00004798974,0.0004341481,0.03726053,0.0001241275,0.001936245,0.01228814,0.935753,0.00009196442],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0845368,0.261967,0.01097018,0.3913379,0.01527684,0.0002503581,0.00155708,0.0005120498,0.2335918],"genre_scores_gemma":[0.4148173,0.144537,0.01483616,0.04384959,0.005595914,0.0004649063,0.001320626,0.0009814422,0.373597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825444,"threshold_uncertainty_score":0.1878391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2313889002360082,"score_gpt":0.3025470408758919,"score_spread":0.07115814063988371,"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."}}