{"id":"W4410629043","doi":"10.1038/s44286-025-00220-y","title":"Level up the researcher in automated laboratories","year":2025,"lang":"en","type":"article","venue":"Nature Chemical Engineering","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto; University of British Columbia","funders":"","keywords":"Computer science; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001895714,0.0002199406,0.000188379,0.0001712238,0.00002731699,0.00005047879,0.0003624968,0.0003715099,0.00001412852],"category_scores_gemma":[0.0004169965,0.0001910672,0.00004415143,0.0011594,0.00003260822,0.0001025607,0.00009047888,0.001769493,0.00001034884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853936,"about_ca_system_score_gemma":0.00002240471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005563588,"about_ca_topic_score_gemma":0.000001210515,"domain_scores_codex":[0.9989608,0.00001057243,0.0002182008,0.0001922701,0.0002010042,0.0004171796],"domain_scores_gemma":[0.9994242,0.0001912417,0.000008471162,0.0002814398,0.00003892605,0.00005570767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007662616,0.0000115692,0.0002467929,0.0001935063,0.00005588212,0.00001153902,0.0002509188,0.2875172,0.7013649,0.004795391,0.005206887,0.0003377583],"study_design_scores_gemma":[0.0003431274,0.00000318039,0.001810314,0.0001883834,0.000005002978,0.000003184243,0.00004642898,0.5380079,0.4422953,0.00003617253,0.01700663,0.0002543596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578366,0.01493072,0.006843118,0.0006738077,0.003937308,0.0005712804,0.00002980643,0.008312357,0.006864946],"genre_scores_gemma":[0.9968674,0.00002023461,0.002703304,0.00004222897,0.0000858189,0.0000570202,0.00001119646,0.0000540998,0.0001587051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2590697,"threshold_uncertainty_score":0.7791494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006790495089800306,"score_gpt":0.268262326848429,"score_spread":0.2614718317586288,"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."}}