{"id":"W3185481565","doi":"10.4236/jmmce.2021.94027","title":"Physicochemical and Mineralogical Characterizations of Wastes Coming from Phosphate Ore Processing of Hahotoé and Kpogamé Mines","year":2021,"lang":"en","type":"article","venue":"Journal of Minerals and Materials Characterization and Engineering","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"International Development Research Centre","keywords":"Fourier transform infrared spectroscopy; Phosphate; Photocatalysis; Materials science; Mineral processing; Inductively coupled plasma; Nuclear chemistry; Chemistry; Waste management; Metallurgy; Environmental chemistry; Chemical engineering; Mineralogy; Environmental science; Pulp and paper industry; Plasma; Catalysis; Physics; 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":[0.0001548572,0.0001704935,0.0004411357,0.00005159506,0.00005020959,0.00009131421,0.0000536941,0.00006372982,0.0001157193],"category_scores_gemma":[0.0000574585,0.0001438674,0.00002897122,0.0001105925,0.00007018435,0.0003560348,0.0001389637,0.00005094106,3.966385e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001241899,"about_ca_system_score_gemma":0.000006378159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000235297,"about_ca_topic_score_gemma":0.000004142308,"domain_scores_codex":[0.9989487,0.00002406674,0.0005481844,0.0001846464,0.0001527862,0.0001416106],"domain_scores_gemma":[0.9993676,0.00003654601,0.0003652599,0.00008026145,0.00004651411,0.0001038531],"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":[0.00004939389,0.00005983658,0.003432272,0.0002493128,0.00002564278,0.000002577077,0.0004440061,0.00001922405,0.9944751,0.00003128268,0.00003497739,0.001176362],"study_design_scores_gemma":[0.001572357,0.00007888834,0.2520082,0.0009317599,0.000160526,0.00009132067,0.00008357114,0.0008017633,0.7306604,0.00008766149,0.01309808,0.0004255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969572,0.0004880741,0.002034732,0.0002362855,0.0001146689,0.000084436,0.0000684093,0.00000745657,0.000008703636],"genre_scores_gemma":[0.9925832,0.002321623,0.004637758,0.00006072568,0.00009837512,0.000003464313,0.0001255436,0.00001555173,0.0001537648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2638147,"threshold_uncertainty_score":0.5866744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287666684516824,"score_gpt":0.2105299297141551,"score_spread":0.1976532628689869,"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."}}