{"id":"W4256302962","doi":"10.3917/sim.194.0003","title":"Numérique et Symbolique","year":2020,"lang":"fr","type":"article","venue":"Systèmes d information & management","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère de l’Emploi et de la Solidarité Sociale (Québec)","funders":"","keywords":"Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001091446,0.000201474,0.000213529,0.0001865465,0.000471592,0.00023813,0.0004071114,0.000286635,0.001595133],"category_scores_gemma":[0.0001342201,0.0002270418,0.0001080914,0.0008277668,0.0002220322,0.004306346,0.0001779328,0.0004396106,0.01323815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178089,"about_ca_system_score_gemma":0.00009469441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009051109,"about_ca_topic_score_gemma":0.00001334481,"domain_scores_codex":[0.9980276,0.0002523991,0.0007005384,0.0001297379,0.0004434789,0.0004462141],"domain_scores_gemma":[0.9990542,0.00003962192,0.0004232413,0.0001841956,0.0001416099,0.0001571255],"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":[0.000009881714,0.00001152857,0.0000325137,0.0004804552,0.00006935235,0.000003012486,0.04920435,0.0014704,1.90217e-7,0.8583531,0.02680605,0.06355914],"study_design_scores_gemma":[0.0004637937,0.00006166148,0.0009667516,0.0001554117,0.00002505286,0.000003103813,0.0467816,0.004480235,0.00001956717,0.07663666,0.8700749,0.0003312309],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001035083,0.000339492,0.05682113,0.0795875,0.001112101,0.0007652461,0.00001439674,0.0005163549,0.8598087],"genre_scores_gemma":[0.9654903,0.0005710531,0.001819245,0.02060956,0.0001909112,0.00007939152,0.0001093967,0.00001083953,0.01111925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9644552,"threshold_uncertainty_score":0.9993175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345974626662023,"score_gpt":0.2615102689422724,"score_spread":0.2480505226756522,"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."}}