{"id":"W7100004839","doi":"","title":"MÉTHODES STATISTIQUES POUR L'ANALYSE ET LA CORRECTION DES","year":2014,"lang":"en","type":"article","venue":"","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diffuser (optics); Theodolite; Actuary; Sensationalism","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002795846,0.0001192154,0.0001571578,0.00001812915,0.00005566304,0.00006978612,0.0000961481,0.00008600522,0.004356246],"category_scores_gemma":[0.0005272707,0.00009555635,0.00007367317,0.00005031208,0.0000585102,0.00006697153,0.0000333884,0.0001208703,0.000108781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003262949,"about_ca_system_score_gemma":0.00001431086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438945,"about_ca_topic_score_gemma":0.0002809328,"domain_scores_codex":[0.9993106,0.00006928301,0.0001591547,0.0001948329,0.0001119243,0.000154234],"domain_scores_gemma":[0.9988953,0.0007521508,0.00004794361,0.0001782261,0.0000452782,0.00008105086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001816691,0.0001144671,0.008068071,0.00005578949,0.00003830924,0.000001298978,0.0001169416,0.000009432249,0.8427702,0.003034873,0.01241753,0.133355],"study_design_scores_gemma":[0.0001781931,0.000006583277,0.0008160493,0.00005487498,0.0000351169,0.00001381077,0.0001389816,0.001401594,0.9332786,0.01060511,0.05324879,0.000222335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7116767,0.00002504715,0.04647933,0.0001091608,0.00002863079,0.00001181357,0.000006718436,0.0001743928,0.2414882],"genre_scores_gemma":[0.9520751,0.00003520554,0.02922432,0.0001317272,0.0001278999,0.000007132695,0.00002441511,0.00001805432,0.01835609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2403984,"threshold_uncertainty_score":0.9965539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07682914835457477,"score_gpt":0.3715225961185679,"score_spread":0.2946934477639931,"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."}}