{"id":"W7029860066","doi":"","title":"Les Sources de la croissance des émissions de CO2 du secteur canadien des entreprises, 1990 à 1996","year":2003,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Production (economics); Work (physics); Consumption (sociology)","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":[0.00030318,0.000384882,0.0001348327,0.002602344,0.0003435164,0.0006207823,0.0003993651,0.0002917144,0.004689481],"category_scores_gemma":[0.0008661316,0.0002241942,0.0003223904,0.004329187,0.0001835149,0.0003410067,0.0003484822,0.0003229355,0.0009542965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003558902,"about_ca_system_score_gemma":0.002012971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5870348,"about_ca_topic_score_gemma":0.6419873,"domain_scores_codex":[0.999728,0.00002156026,0.00001530157,0.00004848191,0.0001417793,0.00004478938],"domain_scores_gemma":[0.9993807,0.0001835252,0.0001528327,0.00002906289,0.0001955326,0.00005833929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001268442,0.0000841609,0.6790399,0.00125219,0.0004643491,0.001166339,0.0034268,0.005335072,0.0177262,0.003616441,0.04186582,0.2447544],"study_design_scores_gemma":[0.00002062239,0.00002018604,0.9544259,0.00005746312,0.00002873637,0.0000993568,0.0003416286,0.0002593836,0.002913999,0.0001562498,0.04166522,0.0000112514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368472,0.0113912,0.001059175,0.0009601691,0.0001476404,0.0000767735,0.1521704,0.0002937393,0.09705362],"genre_scores_gemma":[0.8206544,0.01140048,0.001867197,0.0001316963,0.00009133049,0.00008124473,0.04834152,0.0001223679,0.1173097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129652,"threshold_uncertainty_score":0.8307946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006697653563677334,"score_gpt":0.1944360986289577,"score_spread":0.1877384450652804,"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."}}