{"id":"W7008585524","doi":"","title":"CANADA STOCKS-Toronto index rises in choppy trade on tech and energy boost","year":2022,"lang":"en","type":"other","venue":"","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Energy (signal processing); High tech; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196997,0.0002527143,0.0002424292,0.002673918,0.002967861,0.003362411,0.0006145744,0.001106779,0.03223104],"category_scores_gemma":[0.002909023,0.0002530695,0.0004365866,0.00415562,0.0007268632,0.0005893087,0.0009443518,0.001039453,0.001980623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04414701,"about_ca_system_score_gemma":0.04520322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960423,"about_ca_topic_score_gemma":0.9984838,"domain_scores_codex":[0.9990502,0.00002474167,0.0000256103,0.00006661407,0.0005327207,0.0003000846],"domain_scores_gemma":[0.9966083,0.0002326221,0.0006317421,0.00008212437,0.001720588,0.0007247758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004237838,0.0001044641,0.4718887,0.000129066,0.0001328367,0.0005835929,0.001375733,0.001863915,0.0006474894,0.02545526,0.4676397,0.02975532],"study_design_scores_gemma":[0.00003040625,0.00002355904,0.8905451,0.00005789329,0.00004319663,0.00006992367,0.003167505,0.001095525,0.0008264586,0.0008152441,0.1032829,0.0000423239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4056319,0.002019737,0.0003527651,0.01881166,0.000341588,0.0001360809,0.1448353,0.0003201283,0.4275508],"genre_scores_gemma":[0.7604647,0.001426195,0.0003181137,0.001790904,0.00008891215,0.00003716303,0.02356656,0.00008825077,0.2122191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04414701,"threshold_uncertainty_score":0.3203105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00721035817637952,"score_gpt":0.2450271301487021,"score_spread":0.2378167719723226,"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."}}