{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001434739,0.001543646,0.001642612,0.002879787,0.002318572,0.01197812,0.0008714965,0.00287659,0.0286658],"category_scores_gemma":[0.006038646,0.0006118151,0.001084975,0.002705985,0.01013001,0.007437368,0.001784092,0.007077015,0.008310381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003615867,"about_ca_system_score_gemma":0.00180753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372559,"about_ca_topic_score_gemma":0.004738964,"domain_scores_codex":[0.9977911,0.0008886845,0.00009068524,0.0003433672,0.0007291384,0.0001571129],"domain_scores_gemma":[0.9977624,0.001455993,0.0001132769,0.0001932186,0.0003823772,0.00009266073],"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":[0.00002540079,0.00001544552,0.0001776085,0.0001228454,0.0000158645,0.0001002704,0.0004466615,0.000592905,0.001022298,0.9713323,0.004469592,0.0216789],"study_design_scores_gemma":[0.0001057659,0.00006380731,0.003157687,0.0001403589,0.00002652599,0.001213113,0.0006137398,0.0046898,0.001904918,0.6981168,0.2898839,0.0000834977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03929229,0.0181519,0.1904844,0.01111149,0.005997478,0.00008642287,0.0009911181,0.0015026,0.7323824],"genre_scores_gemma":[0.5582448,0.01687027,0.07734932,0.00163825,0.007763355,0.000483978,0.001152499,0.0006220419,0.3358754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0286658,"threshold_uncertainty_score":0.09589666,"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."}}