{"id":"W4404089996","doi":"10.1002/cjce.25535","title":"Pyrolysis of crayfish waste and life cycle assessment of polygeneration process","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Crayfish; Pyrolysis; Life-cycle assessment; Waste management; Environmental science; Process (computing); Life cycle inventory; Waste material; Engineering; Production (economics); Ecology; Biology; Computer science; Economics","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":[0.0003618889,0.0004363592,0.0003914039,0.0004804781,0.0002886111,0.0004736764,0.0001701688,0.0003406438,0.0006520796],"category_scores_gemma":[0.0002790781,0.0001599577,0.0005298084,0.0005649328,0.0001527047,0.0004286461,0.0002654175,0.0002485496,0.0001826678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005310273,"about_ca_system_score_gemma":0.0003660999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193778,"about_ca_topic_score_gemma":0.004728661,"domain_scores_codex":[0.9997957,0.00002416325,0.00001958942,0.00004186634,0.00008274751,0.00003600544],"domain_scores_gemma":[0.9998615,0.00002115301,0.00002310503,0.00001157227,0.00007044456,0.00001219322],"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":[0.0005208267,0.00009429452,0.005688361,0.0001874266,0.00002938745,0.0001665674,0.00006334928,0.003861252,0.979183,0.00008967937,0.00004886778,0.01006697],"study_design_scores_gemma":[0.0000128747,0.0008371618,0.01323014,0.00001824054,0.00005449096,0.00007805424,0.0001239653,0.009117958,0.9756746,0.00007468986,0.0007591654,0.00001879273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979246,0.0002414011,0.001081652,0.000009280496,0.000003371957,0.00001742264,0.0002485292,0.00001193222,0.0004618212],"genre_scores_gemma":[0.9965619,0.0004830816,0.001686524,0.00000786208,0.000001341474,0.00002505489,0.0002919628,0.000008663651,0.0009336247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004193778,"threshold_uncertainty_score":0.008338749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004930426580440735,"score_gpt":0.1987979776006034,"score_spread":0.1938675510201627,"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."}}