{"id":"W4312288992","doi":"10.7202/1089330ar","title":"Données brutes ou hypersymboles ? Signification et données numériques, entre processus discursif et procédure machinique","year":2022,"lang":"fr","type":"article","venue":"Cygne noir","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01375789,0.001047709,0.001994198,0.004625079,0.002084444,0.0145353,0.002971194,0.002579054,0.01180144],"category_scores_gemma":[0.08334697,0.00133809,0.002326736,0.006930767,0.008616237,0.01828302,0.006150447,0.004455644,0.003144061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003275739,"about_ca_system_score_gemma":0.005262162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190673,"about_ca_topic_score_gemma":0.008948424,"domain_scores_codex":[0.9810657,0.00716169,0.001448221,0.003589853,0.006264411,0.0004701051],"domain_scores_gemma":[0.9424258,0.04174339,0.002854802,0.008195757,0.004324659,0.0004555215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002077593,0.00004958866,0.006081545,0.001954152,0.0002400426,0.0002915869,0.009466876,0.010531,0.004669081,0.7326851,0.005791905,0.2280314],"study_design_scores_gemma":[0.00005060954,0.0001020353,0.005480166,0.001607084,0.0001565748,0.0005939211,0.004969854,0.04162431,0.008596097,0.737224,0.1993794,0.000215963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02610573,0.007008755,0.9246914,0.008962103,0.0004980442,0.0002660203,0.002016502,0.001171998,0.02927941],"genre_scores_gemma":[0.2811883,0.01054284,0.6740755,0.002174192,0.0007006959,0.0008161401,0.002726051,0.001280713,0.02649551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0145353,"threshold_uncertainty_score":0.07275957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1793099919704199,"score_gpt":0.3102846612051459,"score_spread":0.1309746692347261,"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."}}