{"id":"W7061799523","doi":"","title":"Relecture des marges du \"Petit Robert des enfants\" du dictionnaire papier vers un dictionnaire electronique","year":2011,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Poison control; Lexico; Order (exchange)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001563998,0.0005741338,0.0005813647,0.0002360501,0.00107411,0.00002823583,0.0008833758,0.0006205388,0.001821268],"category_scores_gemma":[0.000064686,0.0005579576,0.0005455359,0.0005497249,0.001913239,0.0003685202,0.0002678275,0.0005526147,0.0001104464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118934,"about_ca_system_score_gemma":0.0002972923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387457,"about_ca_topic_score_gemma":0.04944227,"domain_scores_codex":[0.9981226,0.0001516409,0.0004087046,0.0004562067,0.0003160642,0.0005447295],"domain_scores_gemma":[0.9988284,0.00005034381,0.0001801668,0.0004667084,0.0002748709,0.0001995328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008902739,0.002974111,0.3938108,0.01872225,0.00638708,0.0001677592,0.03349232,0.1810062,0.1024234,0.1376462,0.01138989,0.1110897],"study_design_scores_gemma":[0.00266012,0.0004439495,0.5746211,0.01470826,0.001987132,0.0002984025,0.0002725731,0.05174979,0.09726384,0.003099358,0.2511635,0.001731938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6503654,0.03161544,0.1347952,0.000181747,0.001687658,0.0007109028,0.00006722796,0.0002770582,0.1802993],"genre_scores_gemma":[0.9675847,0.008275148,0.004687562,0.00001053397,0.0002636827,0.000002264114,0.00001530246,0.0001080682,0.01905271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3172193,"threshold_uncertainty_score":0.9996872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005471672897083893,"score_gpt":0.167847199854138,"score_spread":0.1623755269570541,"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."}}