{"id":"W7006314136","doi":"","title":"Structure et contenu dans une sélection de contes populaires acadiens, une analyse sémio-narrative","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Diverse Interdisciplinary Research Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identity (music); Ethnography; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002077618,0.0002886857,0.0003046725,0.001856813,0.01670519,0.009035727,0.0009688201,0.001443258,0.008093642],"category_scores_gemma":[0.005210606,0.0002687282,0.0001594519,0.003618576,0.01029572,0.002465893,0.003305297,0.002569379,0.0003912199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01744571,"about_ca_system_score_gemma":0.008466597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2798218,"about_ca_topic_score_gemma":0.4039575,"domain_scores_codex":[0.9983956,0.0006311106,0.00004817015,0.000160108,0.0003088235,0.0004561322],"domain_scores_gemma":[0.9973294,0.001526772,0.0003018963,0.0001165351,0.0004375774,0.0002879682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009081032,0.00001953186,0.01025598,0.00005844537,0.000007547962,0.000623318,0.8062848,0.00009375087,0.000271303,0.1541371,0.006464808,0.02169264],"study_design_scores_gemma":[0.00001284607,0.00002885276,0.0373747,0.0002465154,0.00001644715,0.0004206334,0.6060516,0.0001774546,0.0004717551,0.006632387,0.3485481,0.00001858942],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7301612,0.004680417,0.0008095754,0.01046037,0.0001083729,0.00003675565,0.0004091001,0.00001760328,0.2533166],"genre_scores_gemma":[0.9650702,0.0008759331,0.0002573368,0.000266654,0.00004592416,0.00002609079,0.0001199868,0.00002742074,0.03331043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7201781,"threshold_uncertainty_score":0.5563862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007829079793813842,"score_gpt":0.201803635173461,"score_spread":0.1939745553796471,"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."}}