{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001142401,0.000201531,0.0002470743,0.00003535579,0.000112614,0.00003585246,0.0002972163,0.00004017845,0.00002815674],"category_scores_gemma":[0.00001542783,0.00009291396,0.00008516349,0.000159963,0.00008671434,0.0001057537,0.0003062446,0.0001508443,4.090635e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003817018,"about_ca_system_score_gemma":0.000001511165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005262428,"about_ca_topic_score_gemma":0.000005780869,"domain_scores_codex":[0.9989832,0.000003335697,0.0002917324,0.0002588487,0.0002209442,0.0002419405],"domain_scores_gemma":[0.9995587,0.00007913091,0.0002432966,0.00005562954,0.00001471484,0.00004851485],"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":[0.00001798593,0.00001599411,0.03213971,0.00008127649,0.0000108036,1.241427e-7,0.00001990885,0.0002758991,0.9655897,0.0001759993,0.000005016226,0.001667554],"study_design_scores_gemma":[0.0002696597,0.0003728778,0.1295488,0.0008858715,0.00002773309,0.00001996717,0.000184065,0.02016875,0.8477979,0.00009486865,0.0002672768,0.0003621847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991663,0.00005032955,5.886776e-7,0.00007719998,0.0002078593,0.0002471496,0.00002775325,0.00005297739,0.0001698754],"genre_scores_gemma":[0.9994965,0.000009058692,0.0003506767,0.00002327839,0.00003883767,0.000002343984,0.000003692,0.000003870833,0.00007173007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177918,"threshold_uncertainty_score":0.3788921,"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."}}