{"id":"W3215892202","doi":"","title":"ANÁLISE BIBLIOMÉTRICA DA PRODUÇÃO DE BIOCHAR COM PROCESSO DE PIRÓLISE PARA O TRATAMENTO DE PASSIVOS DE ATERROS INDUSTRIAIS: ÊNFASE NA AVALIAÇÃO DO CICLO DE VIDA","year":2020,"lang":"pt","type":"article","venue":"Forum Internacional de Resíduos Sólidos - Anais","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biochar; Life-cycle assessment; Environmental science; China; Pyrolysis; Political science; Agricultural science; Library science; Production (economics); Engineering; Waste management; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01040321,0.001047495,0.003000271,0.1539363,0.001106025,0.005305344,0.0009252218,0.000765001,0.006133744],"category_scores_gemma":[0.0421594,0.0003494619,0.004028904,0.1772743,0.0009052257,0.00290081,0.001751954,0.00060766,0.0009143619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002468926,"about_ca_system_score_gemma":0.006001629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00809502,"about_ca_topic_score_gemma":0.009130476,"domain_scores_codex":[0.9871903,0.002074879,0.003651392,0.001276764,0.005294449,0.0005121651],"domain_scores_gemma":[0.9488198,0.03176358,0.006750917,0.00170926,0.0103247,0.0006316311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000846631,0.0002970103,0.2465071,0.1579553,0.007910793,0.001447363,0.006036305,0.004498343,0.007510989,0.009623872,0.02306149,0.5343049],"study_design_scores_gemma":[0.0001419251,0.0005810649,0.7137488,0.0236846,0.01780987,0.002744402,0.008753162,0.006401355,0.009739403,0.006897559,0.2091946,0.0003033601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4919535,0.2351922,0.0107845,0.00340534,0.0006052674,0.001602328,0.1999646,0.001484119,0.05500806],"genre_scores_gemma":[0.7936621,0.1205455,0.01758249,0.0002166706,0.0005206106,0.001681924,0.06054647,0.0001981072,0.005046054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8460637,"threshold_uncertainty_score":0.05501813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06578720596477304,"score_gpt":0.2864010214824759,"score_spread":0.2206138155177029,"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."}}