{"id":"W2904061522","doi":"10.1146/annurev-control-053018-023755","title":"Robotic Micromanipulation: Fundamentals and Applications","year":2018,"lang":"en","type":"article","venue":"Annual Review of Control Robotics and Autonomous Systems","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visual servoing; Field (mathematics); Computer science; Artificial intelligence; Computer vision; Engineering; Robot; Mathematics","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":[0.0002023468,0.0001549318,0.000424599,0.00003423586,0.0001641791,0.00004696934,0.0001070596,0.00003374736,0.00003141389],"category_scores_gemma":[0.000002476814,0.0001366909,0.00006162358,0.0001046235,0.0001721899,0.0000798611,0.00004294727,0.00006110726,0.00001353005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001174857,"about_ca_system_score_gemma":0.00003356974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001207516,"about_ca_topic_score_gemma":7.409303e-7,"domain_scores_codex":[0.9990063,0.0000321952,0.000481405,0.0002299009,0.00008143144,0.0001687298],"domain_scores_gemma":[0.9991623,0.00004551724,0.0002696228,0.0002546592,0.000186118,0.00008180206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007311713,0.0001954074,0.003907386,0.003578132,0.0002174537,3.433817e-7,0.0001742223,0.0003376742,0.002634213,0.9505301,0.003508184,0.03490955],"study_design_scores_gemma":[0.00243775,0.0009406158,0.002976197,0.01022194,0.001149502,0.00006130038,0.001080511,0.0175353,0.001064266,0.008251766,0.9527088,0.001572022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001220278,0.0927417,0.8874699,0.001578327,0.000162764,0.004318671,0.0004124074,0.0001035634,0.01199232],"genre_scores_gemma":[0.9954972,0.001523709,0.001693743,0.0002850062,0.0002922549,0.0002312797,0.00004047314,0.00001832031,0.0004179695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9942769,"threshold_uncertainty_score":0.5574092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007484911778120908,"score_gpt":0.2755418523183327,"score_spread":0.2680569405402118,"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."}}