{"id":"W7038144792","doi":"","title":"Global Smart Meter (Electricity, Gas, Water) Market By Type ( Smart Electricity Meter, Smart Gas Meter, Smart Water Meter ); By End User ( Residential Sector, Commercial Sector ); By Region ( North America, Europe, APAC, RoW ); By Country ( U.S., Canada, U.K., Germany, China, Japan )","year":2018,"lang":"en","type":"other","venue":"","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Electricity; Smart meter; Metre; End user; Water heating; Automatic meter reading","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000357603,0.0007600097,0.000226359,0.002859491,0.0005274251,0.001899427,0.0009473826,0.0005013458,0.3011294],"category_scores_gemma":[0.001843588,0.0001964938,0.0003488376,0.004817835,0.000410515,0.002070206,0.001180922,0.0006998362,0.1612141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009837468,"about_ca_system_score_gemma":0.001262898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023414,"about_ca_topic_score_gemma":0.01406978,"domain_scores_codex":[0.9996135,0.00003075854,0.00002218614,0.00006747518,0.0002018419,0.00006431261],"domain_scores_gemma":[0.9990035,0.0001051779,0.0001068135,0.0001231207,0.0004504473,0.0002110399],"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":[0.0000730479,0.00006576152,0.002140919,0.0001995866,0.000007419162,0.0000360365,0.00007305305,0.0002137668,0.0002429461,0.01363021,0.904303,0.07901417],"study_design_scores_gemma":[0.00001146927,0.00001168315,0.003428823,0.00006916602,0.00000207654,0.00004214468,0.00006409177,0.0001478207,0.000336234,0.001215104,0.9946659,0.000005448288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003018229,0.0005806552,0.001256665,0.0006708166,0.0004086328,0.00007972243,0.05794686,0.001444674,0.9345937],"genre_scores_gemma":[0.02126417,0.002824555,0.002978936,0.000401518,0.0004632383,0.0001591802,0.08232965,0.001741524,0.8878372],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9897659,"threshold_uncertainty_score":0.9968541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007169108448625706,"score_gpt":0.2039051867419467,"score_spread":0.196736078293321,"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."}}