{"id":"W7036382437","doi":"","title":"Canada Fails to Make Top-Ten in Green Power Consumption","year":2013,"lang":"en","type":"other","venue":"","topic":"Internet of Things and AI","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Power (physics); Power consumption; Production (economics); Energy consumption","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006135568,0.0001558613,0.0001781522,0.000158969,0.000009878846,0.0001450572,0.0008384908,0.0001091762,0.004810789],"category_scores_gemma":[0.000005704285,0.0001301288,0.0000272142,0.00007563829,0.000008059143,0.00007877787,0.0002618903,0.0001187434,0.0008220071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044329,"about_ca_system_score_gemma":0.0001487471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9563898,"about_ca_topic_score_gemma":0.9432865,"domain_scores_codex":[0.9990429,0.0000158909,0.0001426867,0.0003252045,0.0002273052,0.0002459861],"domain_scores_gemma":[0.9994283,0.00001091336,0.00006021815,0.0003887723,0.00001908556,0.00009273978],"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":[3.573836e-7,0.000005279514,0.0001551196,0.000009803485,0.000007082123,0.00001943756,0.00004978702,7.42395e-7,0.00000499353,0.01294632,0.9824083,0.004392787],"study_design_scores_gemma":[0.00007999621,0.00001714623,0.0007677182,0.00009374459,9.512018e-7,0.000003678829,0.000006181288,0.0003432751,0.00002860406,0.00006209402,0.9983801,0.0002165389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003097241,0.00005947013,0.01172694,0.003910761,0.001033208,0.0002869124,0.000006874664,0.0001139685,0.9825522],"genre_scores_gemma":[0.002674008,0.000003209844,0.006376914,0.005722026,0.00006696973,0.00001168523,0.000002153723,0.00004977452,0.9850932],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01597178,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007913090139766708,"score_gpt":0.2141226241810009,"score_spread":0.2062095340412342,"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."}}