{"id":"W4404531310","doi":"","title":"Répertorium : construire un outil pour documenter les littératures de l’imaginaire et les rendre accessibles","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Art; Humanities","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":[0.005215688,0.0009720882,0.0005728621,0.003863705,0.006005306,0.01992563,0.001812566,0.002727752,0.01405546],"category_scores_gemma":[0.01564146,0.0007720374,0.000760568,0.004430573,0.00991941,0.02264502,0.008401779,0.003519654,0.004387947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004341218,"about_ca_system_score_gemma":0.008757475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347036,"about_ca_topic_score_gemma":0.02172359,"domain_scores_codex":[0.995843,0.002179414,0.000314958,0.000477922,0.0009100063,0.0002746536],"domain_scores_gemma":[0.9920217,0.003595867,0.0003284941,0.00167664,0.00176763,0.0006096482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005360209,0.00003753291,0.001601418,0.0003193615,0.000007174883,0.0003843366,0.06973924,0.0005827207,0.001103914,0.8200499,0.03025388,0.07586688],"study_design_scores_gemma":[0.00001535171,0.00003054806,0.000846506,0.0009315513,0.00001463602,0.0006163865,0.04809118,0.003360194,0.001122303,0.1226931,0.8222399,0.00003821174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05864064,0.006989366,0.4865569,0.04102449,0.004513074,0.00062709,0.001234151,0.002222562,0.3981917],"genre_scores_gemma":[0.4858785,0.007232715,0.2987356,0.002927073,0.00101791,0.001045396,0.002542447,0.00296235,0.1976579],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01992563,"threshold_uncertainty_score":0.0470202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05504412855597048,"score_gpt":0.286521896633036,"score_spread":0.2314777680770655,"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."}}