{"id":"W3135834202","doi":"10.1063/5.0040331","title":"Recent advances in bubble-based technologies: Underlying interaction mechanisms and applications","year":2021,"lang":"en","type":"article","venue":"Applied Physics Reviews","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Bubble; Nanotechnology; Computer science; Controllability; Biochemical engineering; Materials science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001374292,0.00009622645,0.0001561786,0.00001912919,0.00006045488,0.00002416615,0.00007455371,0.00003780949,0.0001657853],"category_scores_gemma":[0.00001085211,0.00009002333,0.00002211381,0.0004142927,0.00003894579,0.000148361,0.00004843414,0.00009873458,0.0001214578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007145027,"about_ca_system_score_gemma":0.000007886111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002759902,"about_ca_topic_score_gemma":0.00005345818,"domain_scores_codex":[0.9992879,0.00003105633,0.0002319792,0.0002580593,0.00009331672,0.00009767776],"domain_scores_gemma":[0.9996345,0.00003137245,0.0001050635,0.0002005781,0.000007737517,0.00002076647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001944202,0.00004802971,0.00003388043,0.00002123674,7.222098e-7,2.264005e-7,0.00003435147,0.0004468972,0.05155492,0.02781212,0.0002173109,0.9198284],"study_design_scores_gemma":[0.0001345736,0.00000875043,0.00003253705,0.0000266618,0.000004880986,7.450717e-7,0.0001693251,0.00111671,0.04475566,0.05458122,0.8990343,0.0001346394],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009428633,0.01129086,0.9234038,0.0005967177,0.00004478779,0.001772964,0.000003460819,0.0003082304,0.06163631],"genre_scores_gemma":[0.4989303,0.3464581,0.1416955,0.004225589,0.00005963289,0.007845456,0.0002608431,0.0000653574,0.0004592549],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9196937,"threshold_uncertainty_score":0.3671045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05040289378683614,"score_gpt":0.3329330481963809,"score_spread":0.2825301544095447,"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."}}