{"id":"W1575038597","doi":"10.26522/ti.v2i1.752","title":"L'éloge de l'ombre","year":2013,"lang":"fr","type":"article","venue":"ti<","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005546849,0.0001340612,0.0001176448,0.00002323345,0.00008058522,0.001484314,0.0003499355,0.00008964702,0.001221698],"category_scores_gemma":[0.00004042494,0.00009950455,0.0000703085,0.0001876319,0.00009241144,0.002776188,0.0001919891,0.000113215,0.00961223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005385594,"about_ca_system_score_gemma":0.00008709749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003661355,"about_ca_topic_score_gemma":0.00004517519,"domain_scores_codex":[0.9990337,0.00002873016,0.0001351631,0.0002079389,0.0001303369,0.0004640667],"domain_scores_gemma":[0.9992034,0.00003821006,0.00004114192,0.0003031108,0.00009971033,0.000314398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001053663,0.0001109011,0.0001699912,0.00002824096,0.0000165574,0.00009627471,0.002263353,0.00003420924,0.001970004,0.4184831,0.4323454,0.1444809],"study_design_scores_gemma":[0.0002424872,0.0001688396,0.02526015,0.00008830149,0.000009817996,0.0003975933,0.0000494187,0.01280174,0.002576335,0.09452313,0.8635298,0.0003523824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1244967,0.007848749,0.005751912,0.03838435,0.001982235,0.0002573884,0.000007178873,0.0001762815,0.8210952],"genre_scores_gemma":[0.6002328,0.00005679904,0.002601877,0.004345954,0.0003623844,0.000006214712,0.000002130093,0.000008578862,0.3923832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4757361,"threshold_uncertainty_score":0.9996913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2946955256079693,"score_gpt":0.3028311820968982,"score_spread":0.008135656488928888,"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."}}