{"id":"W7039920575","doi":"","title":"NineSigma and CCEMC Partner to Reduce Greenhouse Gas Emissions in Alberta, Canada","year":2012,"lang":"en","type":"other","venue":"","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Air pollution; Production (economics); Climate change; Carbon dioxide","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":[0.0005611901,0.0003993031,0.0002033133,0.0007432133,0.004421547,0.00160195,0.001139822,0.0009979639,0.03626841],"category_scores_gemma":[0.0007795414,0.0002177872,0.0002624574,0.0009425436,0.0007102492,0.0003346115,0.001316082,0.001054505,0.002179256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02904508,"about_ca_system_score_gemma":0.102882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911649,"about_ca_topic_score_gemma":0.9973053,"domain_scores_codex":[0.999297,0.00003442002,0.000006127129,0.00004386848,0.0002861492,0.0003325064],"domain_scores_gemma":[0.9988325,0.00003546053,0.00002154701,0.00001839268,0.0004955609,0.0005965031],"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":[0.0004343493,0.0003507185,0.04827934,0.0003084856,0.00005777809,0.001330729,0.0009475118,0.002810059,0.003344731,0.018096,0.7364815,0.1875589],"study_design_scores_gemma":[0.00006766032,0.00008229184,0.09588764,0.0001553883,0.00003402304,0.0002202385,0.003597632,0.00257958,0.001833149,0.00122292,0.8942806,0.0000388555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1443216,0.008610336,0.003406979,0.04067149,0.001936313,0.0004264828,0.01553485,0.001310951,0.7837809],"genre_scores_gemma":[0.1677568,0.002479838,0.003201246,0.002898807,0.00008047728,0.00004545375,0.00299496,0.0001501628,0.8203922],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03626841,"threshold_uncertainty_score":0.2107378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348452458125044,"score_gpt":0.2976063766548856,"score_spread":0.2841218520736352,"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."}}