{"id":"W2004226911","doi":"10.1016/j.powtec.2013.09.004","title":"Introducing inverse gas chromatography as a method of determining the surface heterogeneity of minerals for flotation","year":2013,"lang":"en","type":"article","venue":"Powder Technology","topic":"Adsorption, diffusion, and thermodynamic properties of materials","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Galena; Quartz; Inverse gas chromatography; Chemistry; Mineral; Adhesion; Surface energy; Mineralogy; Analytical Chemistry (journal); Gas chromatography; Chromatography; Chemical engineering; Pyrite; Sphalerite; Materials science; Organic chemistry; Metallurgy; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016485,0.0006179803,0.0005829114,0.001008134,0.0003631664,0.0008224229,0.001005153,0.0009564483,0.0006526085],"category_scores_gemma":[0.00178234,0.0003956125,0.000438567,0.0004569157,0.001174013,0.001214957,0.0006525096,0.001755482,0.0003868518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355416,"about_ca_system_score_gemma":0.0008040618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002590277,"about_ca_topic_score_gemma":0.00361456,"domain_scores_codex":[0.9994504,0.00008763146,0.00002220516,0.0001518556,0.0002466128,0.0000413931],"domain_scores_gemma":[0.9992441,0.0004304883,0.00005921318,0.00008264359,0.0001529863,0.00003063805],"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":[0.00003297013,0.00002924911,0.0004654432,0.00006353468,0.00001056089,0.00001878327,0.00003469104,0.0002024401,0.9864698,0.002288153,0.0000854176,0.01029901],"study_design_scores_gemma":[0.000006549274,0.000059965,0.0008002383,0.00000561785,0.00001366003,0.0001201612,0.00001502682,0.01021381,0.9857441,0.0006070801,0.002399208,0.00001456075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1314365,0.00217758,0.8622164,0.0003799394,0.0001479898,0.0001589077,0.0001944953,0.0008418957,0.002446312],"genre_scores_gemma":[0.4387122,0.001793116,0.5549169,0.0003447785,0.00009821994,0.000174634,0.0003346886,0.0002105355,0.003414953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002590277,"threshold_uncertainty_score":0.005375743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241226610917779,"score_gpt":0.2595977136519459,"score_spread":0.2471854475427681,"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."}}