{"id":"W4412861484","doi":"10.1016/j.mineng.2025.109650","title":"Identification and treatment of a gangue flotation problem at a North Ontario palladium Concentrator","year":2025,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; Lakes Environmental (Canada)","funders":"","keywords":"Gangue; Concentrator; Palladium; Identification (biology); Waste management; Engineering; Mining engineering; Environmental science; Metallurgy; Materials science; Chemistry; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002248732,0.0002952292,0.0002932736,0.0007189065,0.004119678,0.0009835023,0.001011669,0.001110721,0.0009816852],"category_scores_gemma":[0.0005984212,0.0002313099,0.0002133409,0.0004457656,0.0004120358,0.000301274,0.0005226177,0.0005969555,0.0002531812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003434167,"about_ca_system_score_gemma":0.004863834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4307069,"about_ca_topic_score_gemma":0.6871908,"domain_scores_codex":[0.9995866,0.00002027053,0.00001427421,0.00006115596,0.0002370643,0.00008057297],"domain_scores_gemma":[0.9996406,0.00003734956,0.00003221103,0.0000146957,0.0002003127,0.0000748649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009022105,0.001119957,0.1618677,0.0004127939,0.00007747954,0.01009285,0.005098253,0.007983916,0.6911821,0.0006779077,0.005330273,0.1152546],"study_design_scores_gemma":[0.000170622,0.001766699,0.4195567,0.00009703798,0.000178058,0.00340855,0.01844694,0.04152774,0.4711333,0.0003907689,0.04321183,0.0001117959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948484,0.0001016021,0.001469435,0.0002873748,0.00001563092,0.000129421,0.00008570975,0.0000580396,0.003004315],"genre_scores_gemma":[0.9854165,0.0001826565,0.00502715,0.00008748056,0.000008712534,0.00002838467,0.0001492809,0.00001844144,0.009081441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5692931,"threshold_uncertainty_score":0.8563997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007176942996311611,"score_gpt":0.2128063964698007,"score_spread":0.2056294534734891,"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."}}