{"id":"W7024836033","doi":"","title":"Synthetic archaeosome adjuvants","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","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":[],"consensus_categories":[],"category_scores_codex":[0.00008052871,0.00004780243,0.00006687807,0.00007491959,0.00005458831,0.00004442668,0.0003204228,0.00001753103,0.0002655177],"category_scores_gemma":[0.00002737304,0.00004172436,0.00003924703,0.0002858707,0.0000093085,0.0001726334,0.00003437471,0.00003522916,0.0001903731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001069837,"about_ca_system_score_gemma":0.00001937505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.88952e-7,"about_ca_topic_score_gemma":4.316188e-7,"domain_scores_codex":[0.9994513,0.00002190708,0.00009128396,0.0001588208,0.0001701271,0.0001065129],"domain_scores_gemma":[0.9996211,0.00002231771,0.00002790412,0.0002301361,0.00004392671,0.00005459633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001330191,0.00005660726,0.0000716943,8.837288e-7,0.000007986892,0.000004310101,0.0002055965,0.001056407,0.001270736,0.9152985,0.0008849296,0.08114106],"study_design_scores_gemma":[0.0002012061,0.00005138187,0.009040543,0.000007597612,0.000007496353,0.000008608805,0.000004667384,0.7078854,0.0007006756,0.2774521,0.004483143,0.0001571644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001100418,0.00001677772,0.9342423,0.01570402,0.000086167,0.00003580774,8.812374e-7,0.0001195855,0.04869402],"genre_scores_gemma":[0.8830748,0.0000117154,0.1146438,0.001388746,0.00003286111,0.000001277439,0.000001516518,0.000001484399,0.0008437811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8819744,"threshold_uncertainty_score":0.2907232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004024300542174,"score_gpt":0.2294591395931542,"score_spread":0.2194188965877324,"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."}}