{"id":"W3168932553","doi":"10.1039/d1sm00588j","title":"Self-assembly of millimeter-scale magnetic particles in suspension","year":2021,"lang":"en","type":"article","venue":"Soft Matter","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Millimeter; Suspension (topology); Scale (ratio); Materials science; Nanotechnology; Chemical physics; Chemical engineering; Physics; Optics; Engineering; Mathematics; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004415442,0.00007297659,0.0001347598,0.00002551378,0.00001594813,0.00001342479,0.00005414649,0.00002223951,0.001289818],"category_scores_gemma":[8.525116e-7,0.00006903767,0.00005267169,0.0001074085,0.00001317936,0.00003875277,0.00004916182,0.00005593463,0.000291349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000638082,"about_ca_system_score_gemma":0.00002574901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002739179,"about_ca_topic_score_gemma":0.00001503961,"domain_scores_codex":[0.9994375,0.00003318458,0.0001724723,0.0001315963,0.0000642443,0.0001610526],"domain_scores_gemma":[0.9997022,0.00003397641,0.00003487466,0.0001644576,0.00003418354,0.00003037476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007411884,0.0003200167,0.5460201,0.00004905516,0.00001588629,0.000008249358,0.0004728837,0.0000201278,0.4456306,0.0002019324,0.00324243,0.004011335],"study_design_scores_gemma":[0.0005635351,0.00003058031,0.07471919,0.00004060337,0.00002811558,0.000001987136,0.0001960008,0.0002887475,0.920541,0.001399193,0.002039015,0.0001520394],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970957,0.0001885552,0.0004667605,0.0002629548,0.00006204843,0.00005180637,0.000004890108,0.000007790778,0.001859501],"genre_scores_gemma":[0.9963987,0.000003472543,0.002821618,0.0001472666,0.00004040105,0.000002883651,0.000008187672,0.00001048093,0.0005669976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4749104,"threshold_uncertainty_score":0.9996231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006338739824210681,"score_gpt":0.2131647461668765,"score_spread":0.2068260063426658,"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."}}