{"id":"W207905806","doi":"","title":"En contexte d’oral réflexif : Étayage, risque et motivation","year":2008,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Set (abstract data type); Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01003142,0.0009451655,0.000749355,0.002887404,0.004258391,0.01234843,0.001545839,0.004127066,0.00860013],"category_scores_gemma":[0.04727267,0.0008279781,0.0005896262,0.001895824,0.009374944,0.01207349,0.004819527,0.006656236,0.001758004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004032313,"about_ca_system_score_gemma":0.004072831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008921682,"about_ca_topic_score_gemma":0.005115576,"domain_scores_codex":[0.9847853,0.007573836,0.0006015056,0.001862093,0.004131482,0.001045757],"domain_scores_gemma":[0.9743108,0.01593209,0.002407528,0.001682048,0.004695734,0.0009719668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000466269,0.0001667979,0.01308671,0.000726329,0.00007818974,0.002333175,0.3326073,0.0002500809,0.00913708,0.5454705,0.008893277,0.08678441],"study_design_scores_gemma":[0.0001592322,0.0002672562,0.03558257,0.002004628,0.000213123,0.00603362,0.3320035,0.003099648,0.01531001,0.2009808,0.4039598,0.0003858228],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3291062,0.006811738,0.0547933,0.0348381,0.001859202,0.0003008161,0.0004089717,0.0006281119,0.5712536],"genre_scores_gemma":[0.9705503,0.001139892,0.005031061,0.0009644894,0.000551874,0.0001316618,0.0001488282,0.000375629,0.02110624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01234843,"threshold_uncertainty_score":0.05305183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714012265090325,"score_gpt":0.1988777578054199,"score_spread":0.1817376351545166,"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."}}