{"id":"W4386738898","doi":"10.7202/1104236ar","title":"Des centres et des marges. La trajectoire de Julie Doucet","year":2023,"lang":"fr","type":"article","venue":"Mémoires du livre","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004018657,0.0003956113,0.000319581,0.0001301071,0.0005553778,0.003125191,0.0006996295,0.0002149216,0.0002034937],"category_scores_gemma":[0.0003953688,0.0003164253,0.0002315396,0.001071146,0.0007691663,0.002987097,0.0004885177,0.0002732248,0.0007967748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079144,"about_ca_system_score_gemma":0.0002835376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002093163,"about_ca_topic_score_gemma":0.001787214,"domain_scores_codex":[0.9973617,0.0002839953,0.0003229589,0.0005355492,0.0003606298,0.00113518],"domain_scores_gemma":[0.9983301,0.0004264085,0.00009465471,0.0004368266,0.0001824815,0.0005295192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003843403,0.0005671179,0.005833728,0.0004366264,0.0001236219,0.002617447,0.03365264,0.001200492,0.0008390078,0.2995855,0.4715666,0.1835388],"study_design_scores_gemma":[0.0006037271,0.0002768388,0.1294912,0.0006994422,0.00003722893,0.0006744249,0.0006764184,0.006737786,0.00156428,0.05620722,0.8023698,0.0006616396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6014265,0.01616718,0.002611043,0.02825499,0.001878846,0.0003759978,0.0001696892,0.001179116,0.3479366],"genre_scores_gemma":[0.8809418,0.004775174,0.002979836,0.001775643,0.0005209056,0.00001586641,0.00003435621,0.00005237366,0.108904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3308032,"threshold_uncertainty_score":0.9999812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479573379321828,"score_gpt":0.3023113983092904,"score_spread":0.1543540603771076,"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."}}