{"id":"W4316170728","doi":"10.58282/acta.14226","title":"Incertaine indépendance : entre usages marketing & menaces du marché","year":2022,"lang":"fr","type":"article","venue":"Acta Fabula","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008015137,0.0003632208,0.0003321736,0.0001063078,0.0009169058,0.001479605,0.001243246,0.00007474977,0.002853366],"category_scores_gemma":[0.0004030352,0.00032099,0.0001514,0.0008117593,0.0001874097,0.002472268,0.00255458,0.0005085527,0.0001505909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933556,"about_ca_system_score_gemma":0.0002068947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124803,"about_ca_topic_score_gemma":0.0002985363,"domain_scores_codex":[0.9967921,0.0004900538,0.0004208351,0.0007023007,0.000732531,0.0008622187],"domain_scores_gemma":[0.9981253,0.0005201885,0.0002580863,0.0006379665,0.0001286393,0.0003298567],"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":[0.0002606788,0.001087139,0.005677951,0.0003396618,0.0002476277,0.001448734,0.02720264,0.00184166,0.007572677,0.03529689,0.6983222,0.2207022],"study_design_scores_gemma":[0.0004130969,0.000136444,0.009391337,0.0001200482,0.00001940968,0.0005229709,0.0005160075,0.00361087,0.0002498628,0.001545774,0.9829748,0.0004993533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6747046,0.02219153,0.0008544537,0.143159,0.005814623,0.0007260969,0.0001871485,0.0003321325,0.1520305],"genre_scores_gemma":[0.8910404,0.000520604,0.00137527,0.002252723,0.0003915499,0.0000228085,0.00004344807,0.00002494026,0.1043282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2846527,"threshold_uncertainty_score":0.9999242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1438437264713442,"score_gpt":0.2939235056792956,"score_spread":0.1500797792079515,"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."}}