{"id":"W6999265926","doi":"","title":"Canada Surge Arresters Market expected to Reach USD 105.84 Million by 2022: Zion Market Research","year":2017,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Market research; Surge; Research methodology; Order (exchange); Market analysis","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":[0.001929809,0.0008754828,0.0005800337,0.004433165,0.00621249,0.008028883,0.001932055,0.002323685,0.0811355],"category_scores_gemma":[0.006997355,0.0005230107,0.001052228,0.005156738,0.001289851,0.001634713,0.001932884,0.003298777,0.009427651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.102747,"about_ca_system_score_gemma":0.3125862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952492,"about_ca_topic_score_gemma":0.9979495,"domain_scores_codex":[0.9964544,0.00008669496,0.00005380904,0.0001226684,0.002337615,0.0009448974],"domain_scores_gemma":[0.9924718,0.0002991211,0.0002141687,0.0001031677,0.00566129,0.001250356],"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":[0.00002954385,0.00002903723,0.002882464,0.000117788,0.00001646444,0.00003621687,0.00009620602,0.0001573831,0.0000471363,0.01088058,0.9691529,0.01655428],"study_design_scores_gemma":[0.00006079351,0.00002504785,0.03955064,0.0006024016,0.00006830051,0.00003447757,0.001810872,0.001198807,0.0003716183,0.002711818,0.9535021,0.00006320862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01292495,0.006821506,0.0006742046,0.1011393,0.002633037,0.0005139515,0.1387115,0.0004406772,0.7361409],"genre_scores_gemma":[0.1018692,0.01402761,0.00196166,0.01643035,0.0007619629,0.0003808541,0.04334841,0.0003725749,0.8208473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.102747,"threshold_uncertainty_score":0.745485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305823581275039,"score_gpt":0.3370343694998695,"score_spread":0.3039761336871191,"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."}}