{"id":"W4319832125","doi":"10.1002/cjce.24839","title":"Effects of temperature, reaction time, atmosphere, and catalyst on hydrothermal liquefaction of Chlorella","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Welch Foundation; American Chemical Society Petroleum Research Fund; National Science Foundation","keywords":"Hydrothermal liquefaction; Chemistry; Yield (engineering); Thermogravimetric analysis; Nuclear chemistry; Atmosphere (unit); Catalysis; Organic chemistry; Materials science","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":[0.0002439277,0.0003949836,0.0003385597,0.0001987517,0.0001576212,0.0003705023,0.0002043194,0.0002148148,0.0006460401],"category_scores_gemma":[0.000527757,0.0002445649,0.0003035242,0.0002668336,0.0002764909,0.0003202204,0.0002348627,0.0003714621,0.000199276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420747,"about_ca_system_score_gemma":0.0002334065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002933038,"about_ca_topic_score_gemma":0.00325631,"domain_scores_codex":[0.9997981,0.00003630433,0.00002166711,0.00003364034,0.00005537059,0.00005489659],"domain_scores_gemma":[0.9996831,0.000111135,0.00007867612,0.00001639097,0.00006337553,0.00004732388],"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":[0.0003030259,0.00001846775,0.0005728691,0.00006110754,0.00001164294,0.00003994413,0.00003396784,0.0002850289,0.9976282,0.000009707366,0.00001181795,0.001024295],"study_design_scores_gemma":[0.00000766837,0.0002161,0.004501342,0.000005723801,0.00001783738,0.00003544,0.00004441604,0.0007426187,0.9942011,0.000005517497,0.000212505,0.000009558552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988968,0.0004121137,0.0003532676,0.0000186321,0.000004210982,0.00000546058,0.00008297602,0.00001519045,0.0002111974],"genre_scores_gemma":[0.999172,0.0002252205,0.0002835119,0.000007145265,0.000001562,0.000006122402,0.00007778886,0.000008543749,0.0002182402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002933038,"threshold_uncertainty_score":0.005831897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002910390878583319,"score_gpt":0.1622991907093464,"score_spread":0.159388799830763,"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."}}