{"id":"W4360612437","doi":"10.1038/s42256-023-00618-4","title":"Biological research and self-driving labs in deep space supported by artificial intelligence","year":2023,"lang":"en","type":"article","venue":"Nature Machine Intelligence","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Lawrence Berkeley National Laboratory; National Center for Advancing Translational Sciences; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; University of California, San Francisco; Biological and Environmental Research; Science Mission Directorate; Ames Research Center; Office of Science; National Aeronautics and Space Administration; U.S. Department of Energy; Biological and Physical Sciences Division; National Institutes of Health; National Science Foundation","keywords":"Space exploration; Computer science; NASA Deep Space Network; Space (punctuation); Spaceflight; Field (mathematics); Data science; Artificial intelligence; Mars Exploration Program; Exploration of Mars; Spacecraft; Systems engineering; Engineering; Astrobiology; Aerospace engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001529088,0.0002315718,0.0002346663,0.0003434026,0.0001171399,0.0000762387,0.0005129016,0.0005844781,0.00006480696],"category_scores_gemma":[0.0009587689,0.0002067213,0.00006851924,0.001341829,0.0002548868,0.000009740839,0.0005753522,0.001083474,0.00005224995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003526689,"about_ca_system_score_gemma":0.0000387302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001004212,"about_ca_topic_score_gemma":0.0005991025,"domain_scores_codex":[0.9977388,0.0002158211,0.000379634,0.0008040356,0.0003102515,0.0005514894],"domain_scores_gemma":[0.9989608,0.0001709762,0.00006717278,0.0004819133,0.0002001887,0.0001189626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001181848,0.0004243978,0.02330992,0.00003770748,0.00007609519,0.0001437634,0.0002742316,0.00006411978,0.88945,0.001971894,0.006565555,0.07756421],"study_design_scores_gemma":[0.00002815399,0.0003113663,0.0009209231,0.00001961208,0.000006901275,0.00001853885,0.0002380344,0.005934728,0.9737507,0.006198574,0.01228564,0.0002868799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657243,0.004474298,0.0262584,0.001003493,0.00007409199,0.0004996053,0.00001398139,0.0002590287,0.001692777],"genre_scores_gemma":[0.9938993,0.003761251,0.001497936,0.0001329405,0.0001039358,0.00003484118,0.0002230761,0.00002677925,0.00031998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08430072,"threshold_uncertainty_score":0.8429852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225043214012037,"score_gpt":0.3643606542475168,"score_spread":0.3421102221073965,"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."}}