{"id":"W7098071259","doi":"","title":"FREDERIC LESSARD ROLE DE ARF, DE L'UBIQUITINYLATION ET DE","year":2011,"lang":"en","type":"article","venue":"","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Subject (documents); Perspective (graphical); General partnership; Field (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003715892,0.00008321803,0.0001030551,0.000004161669,0.0003076038,0.00002645052,0.00009949476,0.00009720957,0.000393975],"category_scores_gemma":[0.00003405312,0.00003424647,0.00007347568,0.0001171028,0.0000391691,0.00007934259,0.00002565212,0.00008639142,0.00003200605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006252197,"about_ca_system_score_gemma":0.00002353951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00439773,"about_ca_topic_score_gemma":0.006868781,"domain_scores_codex":[0.9992147,0.000102281,0.0001244537,0.0001446852,0.00008882949,0.0003250424],"domain_scores_gemma":[0.9996976,0.00008120804,0.00004048992,0.00003071253,0.00005007354,0.000099941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009365123,0.000856569,0.6400732,0.0000887123,0.00006563777,0.000005494131,0.03962917,0.000005109237,0.1868442,0.02282258,0.05547931,0.05403634],"study_design_scores_gemma":[0.000143153,0.0001415799,0.8964893,0.00001548523,0.00001199631,0.000009494893,0.007266632,0.00003517138,0.002426283,0.02316135,0.07011416,0.0001853459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681121,0.0003035557,0.000192753,0.002708936,0.00003458185,0.00009240353,0.000008759679,0.0001077412,0.02843924],"genre_scores_gemma":[0.9912864,0.0008558545,0.00398313,0.002385337,0.0002072531,0.00001971328,0.00002057901,8.181257e-7,0.001240889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2564161,"threshold_uncertainty_score":0.6648082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1846371827811392,"score_gpt":0.3309890418885915,"score_spread":0.1463518591074523,"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."}}