{"id":"W4318820215","doi":"10.1002/cjce.24863","title":"Biodiesel production from <scp> <i>Nannochloropsis</i> </scp> microalgal biomass‐derived oil: An experimental and theoretical study using <scp>the RSM‐CCD</scp> approach","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiesel; Biodiesel production; Biomass (ecology); Response surface methodology; Extraction (chemistry); Raw material; Nannochloropsis; Biofuel; Chemistry; Pulp and paper industry; Yield (engineering); Algae fuel; Methanol; Food science; Botany; Chromatography; Biotechnology; Materials science; Organic chemistry; Algae; Biology; Agronomy; Catalysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004806322,0.0002898186,0.0002862387,0.0002024992,0.0002966887,0.0001986961,0.0004361132,0.0001306302,0.00000807602],"category_scores_gemma":[0.0002446243,0.0002168273,0.00008988044,0.0005962402,0.0003508626,0.0001996047,0.00004992662,0.0006044445,0.00001330005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903045,"about_ca_system_score_gemma":0.00008925255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003261162,"about_ca_topic_score_gemma":0.0000261289,"domain_scores_codex":[0.9984871,0.00004748428,0.0004227662,0.0002794051,0.0002582505,0.0005050518],"domain_scores_gemma":[0.9988662,0.0001248538,0.00008242772,0.0003720092,0.00009413731,0.0004603454],"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":[0.000001718187,0.00004302411,0.00009831671,0.00002738727,0.0001571603,0.000009721563,0.004214414,0.008160315,0.9848799,0.0002753745,0.001888272,0.0002444285],"study_design_scores_gemma":[0.0006756329,0.00006827599,0.0007852228,0.00005771196,0.0001806512,0.0003954868,0.005916826,0.073744,0.9131124,0.0002179631,0.004653605,0.0001922197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973444,0.001094494,0.0002614777,0.000332948,0.0004566828,0.0002058028,0.00002897443,0.0001513609,0.00012391],"genre_scores_gemma":[0.9982849,0.00001129309,0.000749441,0.00002866735,0.0007781961,0.0000277096,0.00001725315,0.0000654675,0.000037019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07176746,"threshold_uncertainty_score":0.884196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767860494153185,"score_gpt":0.2162675375908047,"score_spread":0.1985889326492728,"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."}}