{"id":"W2767980607","doi":"10.5151/xveneeamb-134","title":"ANÁLISE DA COMPOSTAGEM DE LODO DE TRATAMENTO DE EFLUENTES DA INDÚSTRIA DE PESCADO COM DIFERENTES MATERIAIS ESTRUTURANTES","year":2017,"lang":"pt","type":"article","venue":"","topic":"Composting and Vermicomposting Techniques","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Chemistry; Humanities; Physics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001215335,0.0007384894,0.0007607401,0.00006224326,0.002067718,0.003389236,0.002426689,0.000459587,0.0007833962],"category_scores_gemma":[0.0005392906,0.0003935288,0.0003566365,0.0001685865,0.0005445417,0.0004069584,0.000901971,0.0006040355,0.00004529805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003521944,"about_ca_system_score_gemma":0.0001318538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01495166,"about_ca_topic_score_gemma":0.0005735035,"domain_scores_codex":[0.9958411,0.0005259435,0.0007295344,0.0008655098,0.0003637343,0.001674105],"domain_scores_gemma":[0.9972653,0.0007491864,0.00061956,0.0005753535,0.0001495935,0.0006410138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002979753,0.0004795677,0.4849202,0.0001218778,0.00008752692,0.00009848065,0.000594523,0.000008611993,0.4904123,0.0005851152,0.008391544,0.01400223],"study_design_scores_gemma":[0.001224222,0.001342192,0.7951986,0.001697541,0.0002370236,0.0003965872,0.001898941,0.009384664,0.1788469,0.002149016,0.006023893,0.00160034],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894684,0.0003642177,0.0003130877,0.006672842,0.0003032015,0.0004895451,0.0004112184,0.0007449471,0.001232518],"genre_scores_gemma":[0.9926811,0.0003528907,0.003616999,0.0005805065,0.0005154858,0.0000291767,0.0001530266,0.00001669497,0.002054136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3115654,"threshold_uncertainty_score":0.9998516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644151607058349,"score_gpt":0.3072884161505716,"score_spread":0.2508469000799881,"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."}}