{"id":"W2926291323","doi":"10.11159/iceptp19.127","title":"Improvement of Biowaste Composting Efficiency using Sphingobacterium spiritivorum","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Waste management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003717774,0.0007496829,0.000451413,0.0003843163,0.0002123746,0.0006775628,0.0003090956,0.000424284,0.0004640354],"category_scores_gemma":[0.0002958248,0.0001738144,0.0005283796,0.0004397258,0.0001903601,0.0004580255,0.0005483995,0.0005625565,0.0001819392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002900519,"about_ca_system_score_gemma":0.0003926565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353065,"about_ca_topic_score_gemma":0.00129315,"domain_scores_codex":[0.9996516,0.00005583448,0.0000486834,0.0000649482,0.0001081227,0.00007080732],"domain_scores_gemma":[0.9998403,0.00002970736,0.00004284743,0.00002312248,0.00003350971,0.00003058263],"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":[0.00006731979,0.00008012138,0.0002100849,0.00002110184,0.000005208799,0.00001901283,0.00001022144,0.0001070422,0.9975017,0.00002695933,0.000008515998,0.001942728],"study_design_scores_gemma":[0.0000123618,0.0004170003,0.001360949,0.000004347284,0.00002390842,0.00003657579,0.00003012449,0.001115783,0.9964772,0.00002001966,0.0004964111,0.00000540693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970369,0.0002802481,0.001881812,0.00006098903,0.00002481991,0.00002455041,0.00006528819,0.00004377201,0.0005816189],"genre_scores_gemma":[0.9953983,0.0002754764,0.003029667,0.00002509293,0.00000670365,0.00001785386,0.0001907216,0.00001064815,0.001045667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001353065,"threshold_uncertainty_score":0.002690434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006369798763145663,"score_gpt":0.1826609030829708,"score_spread":0.1762911043198251,"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."}}