{"id":"W4392091227","doi":"10.1080/15435075.2024.2317420","title":"Catalytic hydrothermal liquefaction of Camelina sativa residues for renewable biogasoline production","year":2024,"lang":"en","type":"article","venue":"International Journal of Green Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Regina","keywords":"Hydrothermal liquefaction; Catalysis; Camelina; Camelina sativa; Chemistry; Boiling point; Deoxygenation; Liquefaction; Hydrocarbon; Raw material; Hydrodesulfurization; Freezing point; Chemical engineering; Organic chemistry; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001176345,0.00009047144,0.0001311164,0.0002672585,0.00001099938,0.0000202742,0.0002000239,0.00005819793,0.00003709566],"category_scores_gemma":[0.00005863795,0.00007975008,0.000101821,0.0001184574,0.00002942962,0.0002764978,0.00001707157,0.00006783564,0.000001976831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210902,"about_ca_system_score_gemma":0.00005519448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612651,"about_ca_topic_score_gemma":0.00007442365,"domain_scores_codex":[0.9992135,0.000007721282,0.0003546598,0.00009133479,0.0002479024,0.00008494966],"domain_scores_gemma":[0.9993753,0.00006160054,0.0001047031,0.00006538683,0.0003552741,0.00003777562],"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":[0.0002129959,0.00003483216,0.00006708386,0.0001649545,0.0004703453,0.00002028963,0.0001628665,0.008913114,0.9496336,0.0007540212,0.006024639,0.03354128],"study_design_scores_gemma":[0.0001753168,0.00006506653,0.00003319259,0.0002101347,0.00002877785,0.00009802444,0.00002389376,0.002272789,0.9770078,0.002042833,0.01796586,0.00007628814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552865,0.005336243,0.02614373,0.004177229,0.007654872,0.0001274769,0.00007952342,0.000213566,0.0009808776],"genre_scores_gemma":[0.9974477,0.0002580681,0.0005856868,0.00002035601,0.0007869435,0.000003610361,0.00001481161,0.0000238225,0.0008589862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04216123,"threshold_uncertainty_score":0.3252114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008996383176745571,"score_gpt":0.2368164673296262,"score_spread":0.2278200841528807,"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."}}