{"id":"W2921247036","doi":"10.7554/elife.45379","title":"Minimal cells, maximal knowledge","year":2019,"lang":"en","type":"article","venue":"eLife","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Novo Nordisk Fonden","keywords":"Computational biology; Cell biology; Chemistry; Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230263,0.0005747815,0.0008017264,0.0007034561,0.001469756,0.003293689,0.001591255,0.00134054,0.009637102],"category_scores_gemma":[0.00667131,0.0004771811,0.0009289826,0.000661688,0.004613751,0.007905604,0.003712716,0.002664457,0.002013333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225099,"about_ca_system_score_gemma":0.001521317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314987,"about_ca_topic_score_gemma":0.00220348,"domain_scores_codex":[0.9989412,0.00026091,0.00007235818,0.0003694526,0.0002448703,0.0001111976],"domain_scores_gemma":[0.9975453,0.001014779,0.0001387564,0.0007349922,0.0003239421,0.0002421799],"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":[0.00002502568,0.0000112528,0.0002123449,0.00009593305,0.000009169124,0.00006097626,0.0001565464,0.005510559,0.000749674,0.9798354,0.002608206,0.01072493],"study_design_scores_gemma":[0.00000716483,0.000008779087,0.0000464368,0.00002584356,0.000006189123,0.00004623517,0.00005564079,0.00534827,0.0006805339,0.9761447,0.0176241,0.000006158495],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05450136,0.006910875,0.7900007,0.01210818,0.0005289217,0.0001454957,0.002081095,0.0009136918,0.1328097],"genre_scores_gemma":[0.6414222,0.005031247,0.3099195,0.002179284,0.0005531622,0.0005477745,0.003048204,0.0004379948,0.03686066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009637102,"threshold_uncertainty_score":0.03223926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004442030013163614,"score_gpt":0.2241516916535737,"score_spread":0.2197096616404101,"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."}}