{"id":"W4406856100","doi":"10.4000/1364q","title":"Numériser le patrimoine linguistique québécois : l’exemple des fiches dialectologiques de Gaston Dulong","year":2025,"lang":"fr","type":"article","venue":"Corpus","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Geology; Humanities; Art","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":[0.0009882923,0.0004194717,0.0002889688,0.003932304,0.005843104,0.0030904,0.0004847301,0.0005170889,0.01186492],"category_scores_gemma":[0.002790542,0.0001461063,0.0001709375,0.005816741,0.003200283,0.001280093,0.001411053,0.0006817413,0.0005025498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02072325,"about_ca_system_score_gemma":0.01127813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9089721,"about_ca_topic_score_gemma":0.9621612,"domain_scores_codex":[0.9994645,0.0001342243,0.00002370463,0.00009511159,0.000165223,0.0001172305],"domain_scores_gemma":[0.9985557,0.0005825942,0.00009199756,0.0001165473,0.0005355774,0.0001175897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002869573,0.00003814649,0.04873424,0.0006595893,0.00005261536,0.002394717,0.5800439,0.001062208,0.01178286,0.1002691,0.02644809,0.2282277],"study_design_scores_gemma":[0.00001121255,0.00003415346,0.1249699,0.0003616657,0.00003745229,0.0007682678,0.1875808,0.0009630817,0.003178912,0.00315198,0.6788731,0.00006934704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8060586,0.003187165,0.00815702,0.003304294,0.0002288242,0.0001812784,0.003421091,0.0002063825,0.1752552],"genre_scores_gemma":[0.9096747,0.001082264,0.005089806,0.0002109418,0.00002602804,0.00007772908,0.00113217,0.000115811,0.08259058],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09102792,"threshold_uncertainty_score":0.1831279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695231646586496,"score_gpt":0.2860325403849381,"score_spread":0.2690802239190732,"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."}}