{"id":"W4312355969","doi":"10.46427/gold2022.13254","title":"<i>Understanding biochar-metal interactions using combined spectroscopic and surface complexation modelling approaches</i>","year":2022,"lang":"en","type":"article","venue":"Goldschmidt2022 abstracts","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University; University of Alberta","funders":"","keywords":"Biochar; Metal; Surface (topology); Materials science; Environmental chemistry; Chemistry; Computer science; Environmental science; Chemical engineering; Metallurgy; Engineering; Mathematics; Pyrolysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005167779,0.0004807271,0.000427992,0.000388589,0.0004044892,0.001080915,0.001070532,0.001144296,0.002665419],"category_scores_gemma":[0.0009763034,0.0002144008,0.0006466672,0.0004115225,0.0003629544,0.001887209,0.000605623,0.0009969876,0.001114626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005159395,"about_ca_system_score_gemma":0.0004720166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004423963,"about_ca_topic_score_gemma":0.006708968,"domain_scores_codex":[0.999716,0.00003998781,0.00001158324,0.00006815325,0.0001308728,0.00003348344],"domain_scores_gemma":[0.9997751,0.00009286899,0.00002411264,0.00002816302,0.00007035744,0.00000946905],"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":[0.0002263663,0.0001621239,0.003072139,0.001534236,0.0001670589,0.0001722506,0.0002029942,0.1005935,0.7495859,0.02378776,0.0250739,0.0954218],"study_design_scores_gemma":[0.00001871568,0.0001026884,0.002111024,0.00006445155,0.00006770626,0.0001995172,0.0002018019,0.4811448,0.4659985,0.02138377,0.02864019,0.00006684883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1367788,0.006755474,0.8151776,0.00775529,0.0008122562,0.000154619,0.003236324,0.003448953,0.02588074],"genre_scores_gemma":[0.7225247,0.007693318,0.2543254,0.00169429,0.0003179828,0.0001950387,0.003606494,0.0005394195,0.009103131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004423963,"threshold_uncertainty_score":0.008916736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2147753878457959,"score_gpt":0.2818364138006996,"score_spread":0.06706102595490371,"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."}}