{"id":"W2802894478","doi":"10.1039/c8gc00094h","title":"Biosourced analogs of elastomer-containing bitumen through hydrothermal liquefaction of<i>Spirulina</i>sp. microalgae residues","year":2018,"lang":"en","type":"article","venue":"Green Chemistry","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Spirulina (dietary supplement); Hydrothermal liquefaction; Chemistry; Elastomer; Hydrothermal circulation; Liquefaction; Asphalt; Organic chemistry; Chemical engineering; Materials science; Catalysis; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008254193,0.0004165675,0.0001518078,0.0001416691,0.0001011278,0.0001998829,0.0001500576,0.000202005,0.001169599],"category_scores_gemma":[0.00009676681,0.00009122828,0.0001979942,0.0001621526,0.0001107282,0.000220432,0.000192374,0.0003243103,0.0003619884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531365,"about_ca_system_score_gemma":0.0001987944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000674309,"about_ca_topic_score_gemma":0.001803158,"domain_scores_codex":[0.999929,0.000006604541,0.000004279987,0.00001388595,0.00002232054,0.0000240014],"domain_scores_gemma":[0.9999545,0.000006191092,0.00001640552,0.000004644854,0.000008933148,0.000009293576],"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":[0.00003362115,0.000007189382,0.00008798738,0.00002484119,0.000003406751,0.00003474472,0.000009289203,0.00009964999,0.9988456,0.00003027094,0.000007820159,0.0008155102],"study_design_scores_gemma":[0.000001058451,0.0000482786,0.0002650296,0.000001513717,0.000003014085,0.00001436499,0.00001040183,0.0001076165,0.9992614,0.000004253096,0.0002818098,0.000001194968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950622,0.0005586332,0.002088638,0.00002292603,0.00001319485,0.00001295037,0.0001780537,0.00003426085,0.002029091],"genre_scores_gemma":[0.9961985,0.0004124928,0.0009875521,0.00001196771,0.000001986571,0.000006252981,0.0001765719,0.00002196141,0.002182626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001169599,"threshold_uncertainty_score":0.003912687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008614349398796975,"score_gpt":0.2154925677139703,"score_spread":0.2068782183151733,"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."}}