{"id":"W6931795941","doi":"10.5281/zenodo.8407213","title":"CREMMA Medii Aevi","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Field (mathematics); Process (computing); Work (physics); Identification (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000944656,0.001666029,0.0009027692,0.00350579,0.0008791466,0.004316362,0.001733424,0.001076182,0.5135972],"category_scores_gemma":[0.0034881,0.0009821132,0.0008441046,0.003863366,0.0003984337,0.004004317,0.00296437,0.001498539,0.5731852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007738383,"about_ca_system_score_gemma":0.0008299739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008791757,"about_ca_topic_score_gemma":0.00834831,"domain_scores_codex":[0.999334,0.00008372424,0.00005190194,0.00015557,0.0002833881,0.00009132961],"domain_scores_gemma":[0.9992418,0.0001153317,0.00005992886,0.0002144418,0.000306442,0.00006203059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000116769,0.000014948,0.0003706474,0.0004756493,0.00001600415,0.00003047985,0.0001346332,0.0001949915,0.0005203495,0.005210407,0.9323003,0.06061486],"study_design_scores_gemma":[0.00001096781,0.000005403725,0.0004109718,0.0000784156,0.000006248614,0.00004748921,0.00002601209,0.00009882945,0.0004704112,0.001911812,0.9969222,0.00001123684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001714353,0.002168703,0.0179939,0.001033545,0.001292111,0.0001302871,0.4032369,0.1127215,0.4597087],"genre_scores_gemma":[0.01650569,0.002300647,0.02460945,0.000885519,0.0004740366,0.0005009377,0.4037481,0.1382222,0.4127536],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5135972,"threshold_uncertainty_score":0.6937945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856731377931598,"score_gpt":0.226851603043652,"score_spread":0.198284289264336,"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."}}