{"id":"W7162040363","doi":"10.82308/39964","title":"Valorization of «Acer saccharum» Leaves Biomass","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Plant-Derived Bioactive Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Sugar industry; Biofuel; Economic analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004258036,0.0002970608,0.0003350776,0.0001767695,0.0000322794,0.00004739314,0.0002278214,0.0004640479,0.002495577],"category_scores_gemma":[0.00003838318,0.0002691348,0.000166095,0.000179576,0.00002655207,0.00007811223,0.00002874249,0.0002484003,0.0001976647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008647831,"about_ca_system_score_gemma":0.000117476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009666161,"about_ca_topic_score_gemma":0.0001740218,"domain_scores_codex":[0.9987578,0.000009304617,0.0003506441,0.0003996106,0.0003013524,0.0001813318],"domain_scores_gemma":[0.9992715,0.00006145468,0.0002102779,0.0002663022,0.0001413734,0.00004913344],"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":[0.00006899054,0.00004323888,0.000120632,0.001670907,0.0002287402,0.000007730713,0.0003740346,3.646288e-7,0.9916745,0.0004318998,0.003639478,0.001739486],"study_design_scores_gemma":[0.0001453158,0.00001278923,0.0004456907,0.000335244,0.0001517664,0.000003684276,0.001007661,0.00008949692,0.9898849,0.0005475635,0.007071595,0.0003042524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5727106,0.0009767617,0.00006524295,0.00004297138,0.001124803,0.00009157944,0.0002801814,0.0002667923,0.4244411],"genre_scores_gemma":[0.8344503,0.0001499601,0.0001483502,0.00001012523,0.0002799123,0.00002288765,0.006488618,0.00008674611,0.1583631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266078,"threshold_uncertainty_score":0.9999761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394870953436263,"score_gpt":0.2594354516757267,"score_spread":0.2454867421413641,"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."}}