{"id":"W2107831290","doi":"10.1109/robot.2009.5152759","title":"Automated mouse embryo injection moves toward practical use","year":2009,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Embryo; Computer science; Simulation; Biomedical engineering; Artificial intelligence; Biology; Engineering; Cell 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":[0.002634849,0.0007948641,0.0007436359,0.0008980879,0.0003476486,0.001165382,0.001328501,0.0008204053,0.006512508],"category_scores_gemma":[0.002584228,0.0004080384,0.0005183161,0.0002917053,0.0007601221,0.0008579023,0.001018097,0.00104078,0.001948915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004893899,"about_ca_system_score_gemma":0.0006673689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007454981,"about_ca_topic_score_gemma":0.001022511,"domain_scores_codex":[0.9981326,0.0004299935,0.0001052366,0.0004031264,0.0008179258,0.0001112096],"domain_scores_gemma":[0.9971433,0.001093459,0.0003564112,0.0005812871,0.0005928472,0.0002326827],"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":[0.0004230287,0.0002187965,0.006335329,0.0004138282,0.00007473881,0.0002704908,0.0003779704,0.002384089,0.6978047,0.004304206,0.004240156,0.2831527],"study_design_scores_gemma":[0.0002273015,0.00412753,0.03159381,0.0002928496,0.0002560982,0.003396413,0.0002926935,0.02789444,0.7728658,0.007140797,0.1517221,0.0001901087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1914307,0.006198749,0.7803931,0.00237702,0.0003352837,0.0004781309,0.0003730768,0.006747422,0.01166651],"genre_scores_gemma":[0.4079137,0.005044362,0.5763585,0.0007859211,0.0002666005,0.0003768861,0.0006726357,0.0005252417,0.008056171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006512508,"threshold_uncertainty_score":0.02178645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679983958053383,"score_gpt":0.256300460385016,"score_spread":0.2295006208044822,"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."}}