{"id":"W4410082355","doi":"10.20944/preprints202504.2510.v1","title":"Assessing the Sustainability of Miscanthus and Willow as Global Bioenergy Crops: Current and Future Climate Conditions (Part 2)","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"UK Research and Innovation","keywords":"Miscanthus; Willow; Bioenergy; Sustainability; Current (fluid); Energy crop; Environmental science; Biofuel; Agroforestry; Climate change; Agronomy; Engineering; Ecology; Biology; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006369065,0.0006708452,0.0002196985,0.0006965124,0.0002472946,0.0009690819,0.0005395102,0.0004548816,0.0006469316],"category_scores_gemma":[0.0004928222,0.0001432605,0.0005452909,0.0009188036,0.0002920567,0.001247772,0.0004895724,0.0001996305,0.0001093422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756744,"about_ca_system_score_gemma":0.0006288092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03179175,"about_ca_topic_score_gemma":0.03671829,"domain_scores_codex":[0.9998356,0.00004143639,0.000008767463,0.00003868043,0.00004447367,0.00003098533],"domain_scores_gemma":[0.9997811,0.0000641041,0.00006043326,0.00001913024,0.00004222295,0.00003313583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006206371,0.0002220776,0.4101988,0.0003282242,0.0004661597,0.0003265988,0.0002128867,0.5116045,0.02698247,0.002552404,0.0008675508,0.04561777],"study_design_scores_gemma":[0.00005198334,0.0008367632,0.4163575,0.00008163703,0.0002384041,0.0002226349,0.001194352,0.5541256,0.01816045,0.002928355,0.005696834,0.0001056613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959313,0.000470227,0.001388212,0.00007942694,0.000005505457,0.00002198684,0.0008384154,0.00003078649,0.001234098],"genre_scores_gemma":[0.9975644,0.000243036,0.001309361,0.00001291025,0.000003612309,0.00001536355,0.0006546773,0.000009868674,0.0001868411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179175,"threshold_uncertainty_score":0.06321341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06083629022490447,"score_gpt":0.357307432720232,"score_spread":0.2964711424953275,"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."}}