{"id":"W2012441343","doi":"10.1016/j.biortech.2006.08.032","title":"Starch industry wastewater as a substrate for antagonist, Trichoderma viride production","year":2006,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trichoderma viride; Wastewater; Substrate (aquarium); Pulp and paper industry; Starch; Antagonist; Chemistry; Production (economics); Biotechnology; Sewage treatment; Bioenergy; Food science; Waste management; Biology; Biochemistry; Engineering; Biofuel; Economics; Ecology; Microeconomics","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":[0.0001209432,0.0001814993,0.0001556817,0.0003938837,0.0001123198,0.00002521928,0.0001727011,0.0006640566,0.00004620578],"category_scores_gemma":[0.00001913618,0.0001685029,0.00005307813,0.0004326816,0.0001531641,0.00006645518,0.00003350608,0.0004008463,0.00008199514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007276524,"about_ca_system_score_gemma":0.00001451888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002605542,"about_ca_topic_score_gemma":0.000005064717,"domain_scores_codex":[0.998962,0.00001130676,0.0002294839,0.0003339912,0.00009772901,0.0003654629],"domain_scores_gemma":[0.9995574,0.000006781939,0.00003921135,0.0003104211,0.0000485732,0.00003756341],"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":[0.000145748,0.00009682863,0.003804901,0.0002348962,0.0000399743,0.00001087873,0.00006091594,0.0009232945,0.9489325,0.0004900282,0.03840146,0.006858576],"study_design_scores_gemma":[0.0003619461,0.0001019287,0.0003803142,0.000007830989,0.00001351432,0.00006932293,0.0002036025,0.0003734349,0.7008361,0.0006716444,0.2967867,0.0001936211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99238,0.0003430041,0.000179519,0.004262452,0.0003633948,0.0004476872,0.00001262519,0.001381442,0.0006299057],"genre_scores_gemma":[0.9965767,0.0000205868,0.0007184034,0.00003295811,0.0004040367,0.00006932946,0.0000401463,0.00003779525,0.002100028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2583852,"threshold_uncertainty_score":0.6871349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000538202608413,"score_gpt":0.218656250359469,"score_spread":0.2086508683333849,"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."}}