{"id":"W2004279000","doi":"10.7202/019035ar","title":"Le récit oral populaire, dans un « musée » près de chez vous","year":2007,"lang":"fr","type":"article","venue":"Rabaska Revue d ethnologie de l Amérique française","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art","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":[0.0008186626,0.0003243657,0.000201317,0.001607903,0.009947894,0.005039168,0.0003850106,0.0008889664,0.005516756],"category_scores_gemma":[0.00232494,0.0002129286,0.0001065216,0.001986524,0.007402674,0.002372223,0.002153861,0.001810321,0.0004785588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005352001,"about_ca_system_score_gemma":0.003735427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1230692,"about_ca_topic_score_gemma":0.2061254,"domain_scores_codex":[0.9994408,0.000232779,0.0000158606,0.00007470616,0.0001214777,0.000114273],"domain_scores_gemma":[0.999268,0.0004335152,0.00006780084,0.00005197668,0.00008665857,0.00009218513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007043817,0.0000144721,0.005879043,0.00009739312,0.000005097756,0.001018668,0.8462623,0.00005372781,0.001951539,0.1042996,0.008698313,0.03164945],"study_design_scores_gemma":[0.000004844092,0.00002698727,0.02027278,0.0001855214,0.00001240036,0.0008586039,0.3728528,0.00008239917,0.0009724988,0.002570264,0.602138,0.00002296543],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.764837,0.007751303,0.001552079,0.01367361,0.0005463918,0.00002921562,0.0003250738,0.00005959607,0.2112257],"genre_scores_gemma":[0.9398115,0.001944529,0.0005369424,0.0004994912,0.0001215898,0.00001803276,0.00005126817,0.00006284372,0.05695381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230692,"threshold_uncertainty_score":0.2447057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116140863434696,"score_gpt":0.2904686244939904,"score_spread":0.1743277610592943,"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."}}