{"id":"W2969474523","doi":"10.1016/j.mineng.2019.105923","title":"Separation of talc and molybdenite: challenges and opportunities","year":2019,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Alberta","keywords":"Molybdenite; Talc; Gangue; Sulfide minerals; Froth flotation; Mineral; Sulfide; Metallurgy; Chemistry; Geochemistry; Chemical engineering; Mineralogy; Materials science; Geology; Engineering; Quartz","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":[0.00008688105,0.00007124976,0.0000972918,0.00004090848,0.000009973749,0.000009375131,0.00003088109,0.00004339442,0.0001955661],"category_scores_gemma":[0.00001083338,0.00006889098,0.000009498035,0.00003158267,0.00002153315,0.0001772672,0.00003498661,0.00003961816,0.000008416039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006622455,"about_ca_system_score_gemma":0.000001440704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000123742,"about_ca_topic_score_gemma":0.0000049482,"domain_scores_codex":[0.9996065,0.000008637046,0.0001194264,0.0001104646,0.00008459454,0.00007037396],"domain_scores_gemma":[0.9998261,0.00002292342,0.00003122728,0.00007572697,0.000006698689,0.00003730613],"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":[0.000005026308,0.00001440071,0.00105012,0.00007384541,0.000007544828,0.000001406413,0.001018501,0.00168334,0.9655733,0.01958279,0.0007456198,0.01024415],"study_design_scores_gemma":[0.001499634,0.0006587065,0.09989554,0.0001919408,0.00004150087,0.00009542277,0.0007256065,0.2679363,0.410101,0.001068622,0.2164164,0.001369353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858056,0.0009033087,0.0002471618,0.0002220007,0.00002526704,0.0001010628,0.000001353281,0.00004593263,0.01264833],"genre_scores_gemma":[0.9946294,0.001363553,0.00117163,0.00005350333,0.000009489577,0.000009605493,0.000004011349,0.000007277513,0.002751564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5554723,"threshold_uncertainty_score":0.2809293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553178665609526,"score_gpt":0.238280703062506,"score_spread":0.2127489164064108,"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."}}