{"id":"W6958299670","doi":"10.6068/dp14ba84945274","title":"Trend 1990 - 2008. Statistics Canada. CANSIM: Energy - Energy Consumption and Disposition | Country: Canada | Table: Direct plus indirect energy intensity, by industry | Variable: Electronic product manufacturing, Index, 1990=100 | Units: , 1990-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-078.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Energy consumption; Official statistics; Consumption (sociology); Product (mathematics); Summary statistics; Descriptive statistics; Energy (signal processing); Energy intensity","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":[0.001846644,0.002310783,0.002566868,0.008232297,0.002941908,0.004573512,0.00477336,0.001378639,0.105424],"category_scores_gemma":[0.01420321,0.001705495,0.002191496,0.0412379,0.0005958081,0.002588001,0.002318087,0.002924243,0.0639042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0505703,"about_ca_system_score_gemma":0.1271373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937727,"about_ca_topic_score_gemma":0.9912704,"domain_scores_codex":[0.9963226,0.0002250924,0.0003654466,0.0004460819,0.001735303,0.0009053716],"domain_scores_gemma":[0.9727798,0.0008393802,0.0007353567,0.0008012393,0.02367564,0.001168658],"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":[0.00002177366,0.000005098796,0.0007652477,0.0002712018,0.00001848187,0.000006301429,0.00001956849,0.0001055485,0.000009358179,0.0004259296,0.9966185,0.001732897],"study_design_scores_gemma":[0.0001149185,0.00001001185,0.01796918,0.0007432122,0.00005666651,0.00002477327,0.0003787755,0.0003604848,0.0001639095,0.0005921215,0.9795179,0.00006811535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004645689,0.00005242608,0.0000259973,0.0001128115,0.00002884979,0.00001414197,0.9984404,0.00006562145,0.001213417],"genre_scores_gemma":[0.0009153447,0.0003476759,0.0004396662,0.0001613228,0.00001914787,0.0001331888,0.9922155,0.0001553824,0.005612816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.105424,"threshold_uncertainty_score":0.3669149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723429620329566,"score_gpt":0.2278503831030792,"score_spread":0.2106160868997836,"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."}}