{"id":"W1649789356","doi":"10.2524/jtappij.67.524","title":"Carbon Credit Program in Alberta, Canada","year":2013,"lang":"en","type":"article","venue":"JAPAN TAPPI JOURNAL","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon fibers; Business; Materials science; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.00004842459,0.0000899096,0.00008946185,0.00008792938,0.00002474167,0.00007084098,0.000111062,0.0000329698,0.0003204037],"category_scores_gemma":[0.00001325739,0.00008218693,0.00002097205,0.0001501642,0.00000960794,0.00008141944,0.00001478752,0.0001479416,0.00001884493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786197,"about_ca_system_score_gemma":0.00004858509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2677853,"about_ca_topic_score_gemma":0.7675901,"domain_scores_codex":[0.9993299,0.00001077649,0.0001947132,0.00006403252,0.000162355,0.0002382243],"domain_scores_gemma":[0.999733,0.000009250051,0.00002641817,0.00008768437,0.0000262002,0.0001174608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009400248,0.0002075987,0.1590686,0.0002232646,0.0002243014,0.0001222515,0.001116196,0.02878173,0.0006957934,0.001681996,0.5979521,0.2099167],"study_design_scores_gemma":[0.001000978,0.00007282922,0.2530192,0.00007708032,0.0000155066,0.00006418002,0.0006623241,0.1676917,0.0003184701,0.000356817,0.5762717,0.0004493362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263917,0.00009307678,0.00006227036,0.000689665,0.001081189,0.0003080388,6.02752e-7,0.00008243805,0.07129104],"genre_scores_gemma":[0.9980715,0.00002577986,0.0002319823,0.00009176634,0.0001341259,0.00003057717,0.00000288045,0.00001640963,0.00139499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4998049,"threshold_uncertainty_score":0.7370906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004493592304897228,"score_gpt":0.182484724742963,"score_spread":0.1779911324380657,"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."}}