{"id":"W3015573103","doi":"10.7202/1068770ar","title":"Fragmentation de l’être. Mémoire et identité dans les mangas","year":2020,"lang":"fr","type":"article","venue":"Captures","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","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":[0.0009249829,0.0002022414,0.0001727392,0.0009918044,0.00597275,0.00283189,0.0003881431,0.0005806905,0.005572696],"category_scores_gemma":[0.001810826,0.0001714095,0.0001113076,0.0009434399,0.007112126,0.002507031,0.002347009,0.0007640855,0.000434637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003295336,"about_ca_system_score_gemma":0.001625696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02793783,"about_ca_topic_score_gemma":0.06232559,"domain_scores_codex":[0.9993848,0.0002691058,0.00002117642,0.0001168718,0.0001008927,0.0001071126],"domain_scores_gemma":[0.9990261,0.0002955926,0.0002518564,0.0000981126,0.0001350969,0.000193351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001251519,0.00003953248,0.04396168,0.0002087986,0.00001594046,0.001998344,0.7723745,0.0002335732,0.008533659,0.08622946,0.003272718,0.08300664],"study_design_scores_gemma":[0.00001055672,0.0001092429,0.1480329,0.0003474133,0.00002099636,0.001831489,0.5095078,0.0003329585,0.001520197,0.01538518,0.3228464,0.00005490754],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078825,0.001989471,0.003027835,0.004387794,0.0001114835,0.00002718931,0.00007732451,0.000032461,0.08246406],"genre_scores_gemma":[0.9866383,0.0003529135,0.000703753,0.0001513599,0.00001613,0.00001146261,0.00001484956,0.00001579303,0.01209539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02793783,"threshold_uncertainty_score":0.05555046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2386690921426324,"score_gpt":0.3267928237551455,"score_spread":0.08812373161251308,"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."}}