{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002893257,0.0004889558,0.0005008185,0.00194285,0.005265074,0.01232246,0.0007806877,0.001175711,0.02533088],"category_scores_gemma":[0.009897722,0.0003570756,0.0004108603,0.005510985,0.007850717,0.008752877,0.004483378,0.003810953,0.0031616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006835207,"about_ca_system_score_gemma":0.005151721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07058012,"about_ca_topic_score_gemma":0.09093437,"domain_scores_codex":[0.9967873,0.001139194,0.0000961991,0.0003617791,0.001219813,0.0003956222],"domain_scores_gemma":[0.9950847,0.002131368,0.0007748569,0.0003991103,0.000823563,0.0007863411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000341023,0.0001156382,0.0170242,0.0007299847,0.00006604013,0.001686929,0.3593534,0.0001543865,0.00139034,0.2423037,0.1139358,0.2628986],"study_design_scores_gemma":[0.00000597769,0.00002884367,0.02258884,0.000509547,0.00001863591,0.0005585946,0.08466429,0.0000925589,0.0003211948,0.007365068,0.8838134,0.00003307221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2294991,0.05894467,0.003994933,0.06285433,0.002219471,0.00005303393,0.0008145297,0.0003741382,0.6412457],"genre_scores_gemma":[0.8278317,0.01647597,0.001293182,0.002037782,0.0006198653,0.00004467562,0.000230441,0.0005787419,0.1508877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07058012,"threshold_uncertainty_score":0.1403386,"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."}}