{"id":"W4300747051","doi":"10.7202/1090758ar","title":"Imaginer le devenir des écrans : l’interface cérébrale de Black Mirror","year":2022,"lang":"fr","type":"article","venue":"Cygne noir","topic":"Diverse multidisciplinary academic research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Physics","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.002387685,0.0002654087,0.000333173,0.0001442845,0.002112595,0.0001258673,0.001435283,0.0001649067,0.01052694],"category_scores_gemma":[0.0002532252,0.0003167619,0.0002391247,0.001191332,0.003279279,0.0007143731,0.001283292,0.001172773,0.001610086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129312,"about_ca_system_score_gemma":0.001333343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048486,"about_ca_topic_score_gemma":0.0009223192,"domain_scores_codex":[0.9953885,0.001277065,0.0003792408,0.000610343,0.0009548394,0.001389995],"domain_scores_gemma":[0.9986328,0.0002839677,0.0001239117,0.0003712731,0.0001428078,0.0004452278],"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":[0.0004029449,0.002347501,0.04035349,0.0004806086,0.0003914534,0.0007304701,0.3809641,0.005478839,0.04205622,0.0507813,0.4279885,0.04802455],"study_design_scores_gemma":[0.0009132097,0.0001864329,0.005115652,0.00006424417,0.00005548224,0.00003124124,0.05769196,0.003945278,0.002034304,0.008792553,0.9206603,0.0005093645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81183,0.004235295,0.0003347702,0.06976666,0.001224269,0.0005249764,0.0001737253,0.0001167887,0.1117935],"genre_scores_gemma":[0.7042795,0.0006958817,0.002075331,0.0002194128,0.0002432943,0.00007018907,0.00001009557,0.00004506136,0.2923612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4926718,"threshold_uncertainty_score":0.9999285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05993690303583028,"score_gpt":0.3677943839107669,"score_spread":0.3078574808749366,"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."}}