{"id":"W3014896610","doi":"10.7202/1043636ar","title":"L’Hypertexte et ses prédécesseurs","year":2015,"lang":"fr","type":"article","venue":"Sens public","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities","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":[],"category_scores_codex":[0.0003447551,0.0002720353,0.000249117,0.000103501,0.0001098571,0.005235676,0.0005695641,0.00014067,0.00006246461],"category_scores_gemma":[0.0005222286,0.0002058776,0.00009780945,0.0007747729,0.0002008616,0.008056794,0.0004476474,0.0002270932,0.001457829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008864062,"about_ca_system_score_gemma":0.0006441621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008018752,"about_ca_topic_score_gemma":0.0003526561,"domain_scores_codex":[0.9979213,0.000149202,0.0002633336,0.0004617675,0.000479118,0.0007253185],"domain_scores_gemma":[0.997619,0.00008564089,0.000109214,0.0005817233,0.0006288402,0.0009756131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003264395,0.0002097344,0.00008579889,0.0000195333,0.00003255695,0.0002579443,0.003591081,0.00003907165,0.0000868881,0.5677554,0.3954924,0.03242638],"study_design_scores_gemma":[0.0003549156,0.0002044189,0.0006357727,0.00004544722,0.00001031198,0.0007838744,0.0002302749,0.003762393,0.0002345534,0.01895755,0.9744279,0.0003525558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03974229,0.01543225,0.00410098,0.313592,0.006734693,0.0002550241,0.00003592039,0.0004051034,0.6197017],"genre_scores_gemma":[0.8136614,0.0001153425,0.00157469,0.007851243,0.0005991096,0.000002824976,0.00001765554,0.00002241266,0.1761553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7739191,"threshold_uncertainty_score":0.9993197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5246518885615504,"score_gpt":0.3529267754538201,"score_spread":0.1717251131077304,"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."}}