{"id":"W4302985813","doi":"10.7202/1089992ar","title":"Introduction","year":2022,"lang":"fr","type":"article","venue":"Topiques études satoriennes","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001012816,0.0002149143,0.0002430456,0.00007981331,0.001238462,0.00007342277,0.00045871,0.0001264697,0.0123533],"category_scores_gemma":[0.00009550349,0.0002700294,0.0001270382,0.0007928966,0.0004606449,0.0004291318,0.0003187519,0.0005277967,0.0001582268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000891027,"about_ca_system_score_gemma":0.0001765616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087104,"about_ca_topic_score_gemma":0.001072174,"domain_scores_codex":[0.9971102,0.0009219281,0.00024983,0.0004917213,0.0005715962,0.0006547147],"domain_scores_gemma":[0.9991071,0.0001108702,0.0001617514,0.0003483755,0.00009987445,0.0001720398],"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":[0.00001795392,0.0001232138,0.0010142,0.00002639029,0.00003464451,0.00002788395,0.01577281,0.00009593399,0.00003106405,0.8663173,0.08555768,0.03098091],"study_design_scores_gemma":[0.0001073196,0.0002058792,0.0002609784,0.00001006077,0.00003706707,0.0000274259,0.009352836,0.00006103369,0.00004934571,0.011092,0.9785103,0.0002857248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3307024,0.05260859,0.0002712464,0.3664759,0.07030819,0.001113231,0.00009250504,0.0009715518,0.1774563],"genre_scores_gemma":[0.7995449,0.001159677,0.0009521495,0.0009055408,0.03165779,0.0001615015,0.00003272225,0.00005303774,0.1655327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8929526,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301126636556951,"score_gpt":0.2810627754510719,"score_spread":0.2580515090855025,"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."}}