{"id":"W3018104694","doi":"","title":"Hydrothermal liquefaction of microalgae to produce a bio-binder: Feedstock type influence","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Hydrothermal liquefaction; Raw material; Liquefaction; Hydrothermal circulation; Waste management; Environmental science; Pulp and paper industry; Engineering; Chemical engineering; Chemistry; Biofuel; Geotechnical engineering; Organic chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.00145191,0.0003019661,0.0004100415,0.0002804759,0.0001490077,0.0001263291,0.0006248239,0.0002066396,0.00007622081],"category_scores_gemma":[0.0005373744,0.0003327929,0.0001342626,0.0005879031,0.0001425905,0.000103166,0.0006618103,0.0003152105,0.00009838636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118041,"about_ca_system_score_gemma":0.0001051224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003867979,"about_ca_topic_score_gemma":0.00058858,"domain_scores_codex":[0.9978621,0.0005203611,0.0005372392,0.0005280311,0.0002954354,0.0002568281],"domain_scores_gemma":[0.9958735,0.0001837859,0.0002443794,0.00146899,0.002115397,0.000113976],"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":[0.0001789523,0.001656744,0.01753992,0.003530889,0.002111268,0.000007020259,0.07387177,0.07229436,0.7325233,0.01171707,0.02585869,0.05870998],"study_design_scores_gemma":[0.0003353801,0.000001509564,0.01947512,0.001701139,0.0001094756,0.000005813584,0.00006984369,0.01549321,0.9452071,0.0004886149,0.01638,0.000732794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95982,0.001011801,0.02465532,0.001476547,0.0003064067,0.000612399,0.00006284114,0.0003815493,0.01167315],"genre_scores_gemma":[0.9911581,0.00044582,0.006064781,0.00004123957,0.00003976282,0.00006667337,0.0001507023,0.0000620005,0.001970933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2126838,"threshold_uncertainty_score":0.9999124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000034546688715,"score_gpt":0.2171188671525963,"score_spread":0.2071185216857091,"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."}}