{"id":"W1950604138","doi":"10.3390/min5030510","title":"Dynamic Modeling and Real-Time Monitoring of Froth Flotation","year":2015,"lang":"en","type":"article","venue":"Minerals","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Centre for Clean Coal/Carbon and Mineral Processing Technologies","keywords":"Environmental science; Process engineering; Computer science; Waste management; 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":[0.0001880304,0.00006381153,0.0000960071,0.00003110066,0.00002313787,0.00001265857,0.00004950443,0.00003089529,0.0001761993],"category_scores_gemma":[0.00002997072,0.00005927153,0.00001446877,0.00007937056,0.00002801381,0.0001777334,0.00002862956,0.00002375275,0.00005384876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003685094,"about_ca_system_score_gemma":0.000004718798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006057596,"about_ca_topic_score_gemma":0.00001796747,"domain_scores_codex":[0.9994342,0.00002951702,0.0001776329,0.0001231518,0.0001566119,0.00007884212],"domain_scores_gemma":[0.9997646,0.0000116499,0.00005184617,0.00009201893,0.00001674059,0.00006311054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000790021,0.0000135108,0.003361715,0.00000298941,0.000002019705,4.281419e-7,0.0007369519,0.007841369,0.9856012,0.00005597986,0.001365598,0.001010375],"study_design_scores_gemma":[0.0004591857,0.00009933772,0.002759434,0.00002251943,0.000009860198,0.000003408663,0.0001953769,0.9173712,0.07604787,0.002366334,0.0004650534,0.0002004125],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875781,0.00002824356,0.001781273,0.00007288382,0.00002840103,0.0001010239,0.000001944429,0.000053978,0.01035414],"genre_scores_gemma":[0.9778212,0.00003928439,0.0187872,0.00001918987,0.00001302914,0.00001155728,0.000007781917,0.000007302447,0.0032935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9095533,"threshold_uncertainty_score":0.2417023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766913646907646,"score_gpt":0.2882347523011702,"score_spread":0.2605656158320937,"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."}}