{"id":"W4411026124","doi":"10.1038/s41467-025-60514-w","title":"IvoryOS: an interoperable web interface for orchestrating Python-based self-driving laboratories","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; University of Toronto; Canada Foundation for Innovation","keywords":"Computer science; Interoperability; Workflow; Python (programming language); Software engineering; User interface; Automation; Plug-in; Plug and play; Operating system; Programming language; Human–computer interaction; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003101442,0.0011276,0.0005798916,0.001135234,0.0004741914,0.001621455,0.002715042,0.0007322193,0.01390265],"category_scores_gemma":[0.005219477,0.0008726913,0.001060699,0.0004469295,0.00119954,0.002622351,0.0046199,0.001875559,0.005790987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006660434,"about_ca_system_score_gemma":0.001666244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220457,"about_ca_topic_score_gemma":0.001169463,"domain_scores_codex":[0.9985179,0.0003092327,0.0001707234,0.0002600958,0.0004898085,0.0002521945],"domain_scores_gemma":[0.9977608,0.0008039018,0.000197431,0.0005438231,0.0002895473,0.0004045523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005854557,0.001574549,0.02367486,0.00246896,0.0005615242,0.0030313,0.003658502,0.03394497,0.1466496,0.08471614,0.2380147,0.4558504],"study_design_scores_gemma":[0.0009902596,0.0004598554,0.006990998,0.0003611752,0.0001470914,0.0009677941,0.0002814268,0.314343,0.1453659,0.0481256,0.4815298,0.0004371758],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01249427,0.0001126647,0.5637437,0.0002032838,0.000155275,0.0005280191,0.002124621,0.4116682,0.008969997],"genre_scores_gemma":[0.2818159,0.0004598745,0.5516501,0.001483285,0.0001909232,0.002902326,0.01615135,0.1204787,0.02486752],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01390265,"threshold_uncertainty_score":0.04650897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08744023760674274,"score_gpt":0.4487617930873267,"score_spread":0.3613215554805839,"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."}}