{"id":"W2916146444","doi":"10.25092/baunfbed.532405","title":"Kömür hazırlama tesis artıklarının koagülasyon ile susuzlandırılmasında farklı koagülant tiplerinin etkisinin araştırılması","year":2019,"lang":"tr","type":"article","venue":"Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Gynecology; Physics; Chemistry; Molecular biology; Medicine; Biology","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":[0.003754742,0.001383384,0.001930605,0.002643995,0.001734292,0.00567328,0.001509739,0.002902783,0.09515226],"category_scores_gemma":[0.00991316,0.000812269,0.001654527,0.00168739,0.001665579,0.002542667,0.002400591,0.00284007,0.03339194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648995,"about_ca_system_score_gemma":0.004832096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0064059,"about_ca_topic_score_gemma":0.006785994,"domain_scores_codex":[0.9957193,0.0007286536,0.000496219,0.0005061325,0.002105548,0.000444194],"domain_scores_gemma":[0.9931949,0.00111379,0.001122008,0.0005975484,0.003342829,0.0006287512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003080701,0.001040984,0.02349029,0.00772017,0.0003604916,0.006256303,0.001309479,0.001235186,0.06334218,0.01017243,0.2474637,0.6345282],"study_design_scores_gemma":[0.0002396246,0.001160597,0.01161259,0.002326722,0.00030881,0.006813049,0.001599543,0.002121567,0.04642206,0.003884915,0.9233616,0.0001488803],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.166516,0.1819896,0.097772,0.07372022,0.02301739,0.006715566,0.02503708,0.01059739,0.4146347],"genre_scores_gemma":[0.4850378,0.1220069,0.08164405,0.01660459,0.004784807,0.002954806,0.01870894,0.0030004,0.2652577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09515226,"threshold_uncertainty_score":0.318316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00861698128184182,"score_gpt":0.1870957369281031,"score_spread":0.1784787556462613,"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."}}