{"id":"W7044228533","doi":"","title":"Valorization of «Acer saccharum» Leaves Biomass","year":2024,"lang":"ru","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002432825,0.00182847,0.001938628,0.002437696,0.001541897,0.0005590716,0.001766395,0.002128223,0.00340142],"category_scores_gemma":[0.001438171,0.001973387,0.001331074,0.003499198,0.0004566061,0.002421165,0.0004161581,0.001973789,0.00256548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009365533,"about_ca_system_score_gemma":0.0002229946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009031958,"about_ca_topic_score_gemma":0.0005178664,"domain_scores_codex":[0.9886241,0.001050565,0.003188928,0.002984306,0.002613925,0.001538203],"domain_scores_gemma":[0.9927375,0.0007413605,0.00251075,0.001860109,0.00150913,0.0006410962],"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":[0.0004131323,0.0005331371,0.0001246514,0.003418744,0.0004989185,0.00006744261,0.00007470171,0.00009693353,0.9460477,0.0407236,0.00003713366,0.007963919],"study_design_scores_gemma":[0.001320835,0.0005360285,0.003731114,0.002393028,0.001371608,0.00005100924,0.001742521,0.0000920922,0.9089242,0.02975019,0.04766731,0.002420125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490141,0.001254443,0.000004516171,0.00004805722,0.01565509,0.001609746,0.005638862,0.0007066779,0.02606855],"genre_scores_gemma":[0.9865728,0.0007279542,0.001056281,0.0001239429,0.0002528569,0.0002940896,0.001882296,0.0005605631,0.008529185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04763018,"threshold_uncertainty_score":0.9997579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799797948897921,"score_gpt":0.2605527041337047,"score_spread":0.2425547246447255,"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."}}