{"id":"W4309306366","doi":"10.1126/sciadv.ade3161","title":"Gravity-resisting colloidal collectives","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Swarm behaviour; Control reconfiguration; Magnetic field; Obstacle; Magnetic levitation; Computer science; Climbing; Nanotechnology; Mechanics; Physics; Materials science; Magnet; Artificial intelligence; Engineering; Structural engineering","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":[0.00009112481,0.0001703608,0.0001505849,0.0002032135,0.0003406873,0.0002453885,0.0001988767,0.0002893421,0.000491068],"category_scores_gemma":[0.000168471,0.0001417387,0.0001271687,0.00007481062,0.0003375336,0.0002045338,0.000454458,0.0001809925,0.0002042401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312196,"about_ca_system_score_gemma":0.0001403189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003056413,"about_ca_topic_score_gemma":0.000471374,"domain_scores_codex":[0.9999132,0.00001030522,0.000003952059,0.00002006382,0.00003160295,0.00002092373],"domain_scores_gemma":[0.9999167,0.000009563994,0.00002152057,0.00001061176,0.00001653205,0.00002500042],"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":[0.00001924853,0.00001258467,0.0004191713,0.00003997241,0.000007175453,0.0001196301,0.00008904115,0.002159175,0.9839805,0.005172839,0.0003590532,0.007621558],"study_design_scores_gemma":[0.0001867262,0.0007979657,0.007281799,0.00003697259,0.00005975327,0.001046813,0.0002805136,0.1787309,0.760026,0.01337992,0.0380946,0.0000781491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463482,0.0008032621,0.04158825,0.0003203814,0.00009851796,0.00003629074,0.00002399745,0.0003665389,0.01041451],"genre_scores_gemma":[0.990384,0.0001491419,0.007810555,0.00007387515,0.00001629209,0.00002365754,0.00001971796,0.0000119795,0.001510734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000491068,"threshold_uncertainty_score":0.001642823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008034408918258077,"score_gpt":0.2673738973817847,"score_spread":0.2593394884635266,"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."}}