{"id":"W4407174312","doi":"10.7202/1115949ar","title":"Liminaire","year":2024,"lang":"fr","type":"article","venue":"Tangence","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008384803,0.0001611672,0.0001082631,0.00004203846,0.0000815726,0.002792137,0.0003918212,0.00007887849,0.0003270093],"category_scores_gemma":[0.0000393665,0.0001223169,0.00009279432,0.0006191672,0.0001412336,0.003635762,0.0002120742,0.0001532646,0.00479141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006196897,"about_ca_system_score_gemma":0.0001327683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003399113,"about_ca_topic_score_gemma":0.00004879283,"domain_scores_codex":[0.9988579,0.00002134044,0.0001477704,0.000380046,0.0002163647,0.0003765578],"domain_scores_gemma":[0.9993266,0.00006586737,0.00001807744,0.0003131155,0.00006368714,0.0002126134],"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":[7.105359e-7,0.00002094491,0.00000346567,0.00009106004,0.00001059422,0.0009969245,0.002204211,0.000008071484,0.0002609625,0.6035646,0.07410969,0.3187287],"study_design_scores_gemma":[0.00002495576,0.000117045,0.0004458633,0.0005438041,0.00001440895,0.0005564124,0.00003125585,0.02288628,0.001321499,0.02068939,0.9531394,0.0002297139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004236769,0.302576,0.02738985,0.03608393,0.01137048,0.0001443711,0.00002264524,0.000472452,0.6177035],"genre_scores_gemma":[0.6548401,0.0009627775,0.001538774,0.001050492,0.0006748309,0.000004028862,0.000001887743,0.00001245731,0.3409147],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8790297,"threshold_uncertainty_score":0.998243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4024193355199003,"score_gpt":0.3456960208913465,"score_spread":0.05672331462855379,"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."}}