{"id":"W6969166809","doi":"10.5281/zenodo.6618086","title":"Dataset for greenhouse gas modelling in diesel dependent communities transitioning to bioenergy","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Bioenergy; Greenhouse gas; Biomass (ecology); Renewable energy; Life-cycle assessment; Supply chain; Diesel fuel; Fossil fuel","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006605356,0.001018468,0.0006402096,0.001014221,0.0006431104,0.0009377627,0.002408087,0.002124825,0.01119538],"category_scores_gemma":[0.002081175,0.0003840932,0.001375273,0.002432487,0.0002896387,0.0008930729,0.0008929908,0.001367417,0.007176654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733658,"about_ca_system_score_gemma":0.001545587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1402976,"about_ca_topic_score_gemma":0.1872433,"domain_scores_codex":[0.999612,0.00006364362,0.00003887653,0.000101725,0.0001179267,0.00006574912],"domain_scores_gemma":[0.9990516,0.000203041,0.0000734645,0.0002269713,0.0003324615,0.0001123709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004974146,0.000303605,0.02249484,0.001252963,0.0002715926,0.0004470065,0.0001895951,0.1368818,0.002015996,0.006057144,0.8121899,0.01739822],"study_design_scores_gemma":[0.0007015129,0.0001234855,0.03419705,0.0003355598,0.00009558337,0.0002429599,0.0005397534,0.1394606,0.004109046,0.01026108,0.8097248,0.0002085759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005438183,0.0000731041,0.001195935,0.0002405074,0.00005076964,0.00004876308,0.9892647,0.001093071,0.002594997],"genre_scores_gemma":[0.01697306,0.00008163606,0.003151867,0.00007896667,0.00001002354,0.0001636618,0.9783893,0.0001606232,0.0009908816],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1402976,"threshold_uncertainty_score":0.2789621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038954074077278,"score_gpt":0.2593377883989318,"score_spread":0.1554423809912039,"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."}}