{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006157021,0.0003290937,0.0001995348,0.001719114,0.005580738,0.0028758,0.0007700004,0.001105272,0.02771919],"category_scores_gemma":[0.001334728,0.0002516444,0.0003044719,0.002324536,0.0006342391,0.0004655216,0.0009728345,0.001090184,0.001669755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04420349,"about_ca_system_score_gemma":0.1606231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907408,"about_ca_topic_score_gemma":0.9972057,"domain_scores_codex":[0.9991757,0.00003841064,0.00001416051,0.00005948873,0.0003575569,0.0003546001],"domain_scores_gemma":[0.9980703,0.00007128642,0.00003957027,0.00002902409,0.0009587473,0.0008311138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004767513,0.0004273111,0.1388212,0.0002812674,0.00006037208,0.001496242,0.001678882,0.002581706,0.001410101,0.03523495,0.6064434,0.2110877],"study_design_scores_gemma":[0.00008826148,0.00005990433,0.2674267,0.0001834186,0.00002191492,0.0001878524,0.004254898,0.001285335,0.000670159,0.001243262,0.7245302,0.00004809226],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1860834,0.004119057,0.0008075195,0.02567369,0.001430575,0.000652795,0.02626667,0.0006051415,0.7543612],"genre_scores_gemma":[0.2294938,0.001521997,0.001363824,0.00191324,0.00008522916,0.0001179105,0.005610886,0.00006946264,0.7598237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04420349,"threshold_uncertainty_score":0.3207203,"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."}}