{"id":"W2804011847","doi":"10.3390/su10061750","title":"A Functionality Based Wood Substitutability Index","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Scarcity; Substitution (logic); Resource (disambiguation); Index (typography); Environmental economics; Resource depletion; Resource scarcity; Value (mathematics); Scale (ratio); Resource use; Computer science; Natural resource economics; Environmental resource management; Environmental science; Economics; Microeconomics; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008631813,0.0006810007,0.0004449323,0.006644836,0.0002878126,0.0008040097,0.0004314984,0.0004266646,0.00316362],"category_scores_gemma":[0.002024066,0.000165164,0.0007923024,0.004624261,0.0003873131,0.001097685,0.0006312059,0.0003505963,0.0008838157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005134901,"about_ca_system_score_gemma":0.0003709573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060663,"about_ca_topic_score_gemma":0.003463346,"domain_scores_codex":[0.9993656,0.0001018376,0.00006022104,0.00009436984,0.0003103462,0.00006762689],"domain_scores_gemma":[0.9984667,0.0006257239,0.000269614,0.0001426358,0.0004227255,0.0000726095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006235501,0.0005451252,0.4588049,0.001091728,0.0006443065,0.0007416084,0.0008511053,0.08909348,0.1118772,0.009476542,0.004527175,0.3217231],"study_design_scores_gemma":[0.00002318653,0.001094048,0.7397344,0.0001113337,0.0003118876,0.001371906,0.001410323,0.1795761,0.0448071,0.008548583,0.0228032,0.0002080495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.892314,0.000736253,0.08123601,0.00005519449,0.0000410853,0.0001835022,0.005846127,0.0004296299,0.01915822],"genre_scores_gemma":[0.9646886,0.000208353,0.03028779,0.00001463476,0.00001343164,0.0001038185,0.00337599,0.00004158937,0.001265751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006644836,"threshold_uncertainty_score":0.01058334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007101317934736145,"score_gpt":0.2499847936399867,"score_spread":0.2428834757052505,"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."}}