{"id":"W4389915118","doi":"10.7202/1108033ar","title":"Preamble","year":2023,"lang":"fr","type":"article","venue":"Muséologies Les cahiers d études supérieures","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preamble; Computer science; Telecommunications","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.00161147,0.001338281,0.001236108,0.001217617,0.001307333,0.000549891,0.002071742,0.001778507,0.002092268],"category_scores_gemma":[0.003260377,0.001415866,0.0007208872,0.004191441,0.006320201,0.0009611728,0.001111615,0.001934111,0.03879341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110899,"about_ca_system_score_gemma":0.0005115533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441264,"about_ca_topic_score_gemma":0.0008877809,"domain_scores_codex":[0.9914231,0.001057635,0.001119119,0.001784264,0.001210221,0.003405642],"domain_scores_gemma":[0.9947995,0.001992085,0.0004263709,0.001876328,0.000331749,0.0005739662],"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":[0.000372975,0.0004453241,0.01153412,0.0009346219,0.001077477,0.002179264,0.009290921,0.009214179,0.01007509,0.32087,0.6131617,0.02084438],"study_design_scores_gemma":[0.001457272,0.0006827932,0.03361617,0.0003090522,0.0004427309,0.0001898775,0.02563196,0.001182594,0.004664066,0.005820459,0.9241282,0.001874865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7208725,0.0243034,0.0001396065,0.01385434,0.008575564,0.001654935,0.001626299,0.009604692,0.2193687],"genre_scores_gemma":[0.919,0.005072652,0.001809445,0.0006545395,0.001046851,0.0002900725,0.0004702979,0.000620573,0.07103551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3150495,"threshold_uncertainty_score":0.9999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05576575368338212,"score_gpt":0.2923548214240512,"score_spread":0.2365890677406691,"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."}}