{"id":"W4287183454","doi":"","title":"Membrane-Photobioreactor for simultaneous and in-situ cultivation and extraction of respectively Haslea ostrearia and marennine","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Algal biology and biofuel production","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Photobioreactor; In situ; Extraction (chemistry); Membrane; Computer science; Environmental science; Chromatography; Process engineering; Chemistry; Engineering; Waste management; Biofuel","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":[0.0002145622,0.0005112401,0.0004687653,0.0001751878,0.0002722343,0.000382641,0.0003310358,0.0006555329,0.001332314],"category_scores_gemma":[0.0001215417,0.0002202661,0.0003775834,0.000215175,0.0001240279,0.0003642019,0.0003978465,0.0006147033,0.0008612202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004932461,"about_ca_system_score_gemma":0.0003754788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178237,"about_ca_topic_score_gemma":0.002909116,"domain_scores_codex":[0.9998552,0.00001219159,0.000005993108,0.00005153384,0.00004946036,0.00002569268],"domain_scores_gemma":[0.9999596,0.00001055218,0.000006903484,0.000004199532,0.00001123064,0.000007582543],"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":[0.00001886824,0.000005563834,0.00001863643,0.00001320494,0.000001848519,0.000004716924,0.000003016768,0.00001066726,0.99941,0.00001103247,0.00001107749,0.0004913473],"study_design_scores_gemma":[0.000003081159,0.0000349749,0.000689989,0.000001635296,0.000006387897,0.00002674616,0.000005751879,0.0002440903,0.9981039,0.000005936167,0.0008751373,0.000002335425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540726,0.002444053,0.03880215,0.0002719678,0.0001178265,0.0001302472,0.0009717488,0.0005316828,0.002657788],"genre_scores_gemma":[0.955863,0.001919778,0.02799583,0.0001574984,0.00002167145,0.0001209615,0.0009546521,0.00008434888,0.01288229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002178237,"threshold_uncertainty_score":0.004457057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484337751346311,"score_gpt":0.2426985997467532,"score_spread":0.2278552222332901,"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."}}