{"id":"W4296935338","doi":"","title":"Un équipement de pointe pour percer las secrets du lait.","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Art; Humanities","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":["insufficient_payload"],"category_scores_codex":[0.005599582,0.0006850528,0.0005074629,0.0001879872,0.0007020347,0.0007245369,0.001899442,0.0008550995,0.003082186],"category_scores_gemma":[0.001778767,0.0007946138,0.0005295924,0.0003128754,0.0005605985,0.00003544701,0.001526411,0.0007525677,0.001359998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499143,"about_ca_system_score_gemma":0.0007025523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049207,"about_ca_topic_score_gemma":0.0005958011,"domain_scores_codex":[0.9894873,0.00650325,0.001119683,0.001572266,0.0005355026,0.0007819352],"domain_scores_gemma":[0.9907449,0.000408757,0.000932918,0.003288572,0.004133284,0.0004915282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006557508,0.002884631,0.006907819,0.0005235814,0.0008383185,0.000009505108,0.009192591,0.0002077924,0.4280432,0.4413542,0.06865606,0.04131674],"study_design_scores_gemma":[0.001152588,0.000002253778,0.01584842,0.0008546581,0.0001647172,0.0000757419,0.0004532069,0.008495745,0.4930285,0.002420797,0.4764806,0.001022819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.591047,0.003907059,0.2149336,0.09853049,0.001318072,0.001438181,0.0002930557,0.0002173608,0.08831512],"genre_scores_gemma":[0.841939,0.003894791,0.03269861,0.0007141181,0.0002040514,0.0003002385,0.002858751,0.0001278423,0.1172626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4389334,"threshold_uncertainty_score":0.9994505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176055196166762,"score_gpt":0.2270846719480322,"score_spread":0.2153241199863646,"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."}}