{"id":"W4381199584","doi":"10.1007/978-3-031-33410-8_2","title":"Robotic Micromanipulation of Small Organisms","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on biomedical engineering","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Identification (biology); Artificial intelligence; Computer science; Engineering; Control engineering; Biology; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001334904,0.000530032,0.0006699211,0.0007151228,0.00003384153,0.00002047815,0.0003548415,0.001029462,0.0001174632],"category_scores_gemma":[0.0002841431,0.0004830573,0.0002028865,0.00015187,0.0001285709,0.00001637864,0.00007945207,0.000587985,0.0001501646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328423,"about_ca_system_score_gemma":0.00002551666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004648933,"about_ca_topic_score_gemma":0.000001407001,"domain_scores_codex":[0.9984195,0.000005531545,0.0005095601,0.0003507799,0.0003378758,0.0003767146],"domain_scores_gemma":[0.9989605,0.0003680188,0.00008025354,0.0004582992,0.00003249275,0.0001004527],"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":[0.00002732404,0.00004924366,0.000001152486,0.002525351,0.001046858,0.0002156719,0.0001070474,0.05361653,0.8190402,0.02622202,0.02442783,0.07272077],"study_design_scores_gemma":[0.0004874431,0.0003774418,0.0001480509,0.006792332,0.0006344441,0.0001070984,0.00001919313,0.0570944,0.7684957,0.006655595,0.1559352,0.003253048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009723245,0.02455315,0.7035486,0.003619813,0.02274621,0.004768129,0.001040026,0.06405488,0.165946],"genre_scores_gemma":[0.8658865,0.01100053,0.04156111,0.0003103295,0.002943789,0.0001075654,0.0007397545,0.003827696,0.07362273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8561633,"threshold_uncertainty_score":0.9997621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751426605132607,"score_gpt":0.1808306444018268,"score_spread":0.1633163783505007,"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."}}