{"id":"W7059920805","doi":"","title":"Kipling in Canada","year":2018,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Subject (documents); Perspective (graphical); Period (music); Agency (philosophy)","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":[0.0004571673,0.0004730895,0.0004536036,0.001352192,0.02151498,0.004374089,0.001184994,0.001366101,0.09085029],"category_scores_gemma":[0.001398189,0.0002777136,0.0004884711,0.002470015,0.002263392,0.0008760239,0.002985969,0.002889556,0.01081315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03211869,"about_ca_system_score_gemma":0.09543094,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9768291,"about_ca_topic_score_gemma":0.9960343,"domain_scores_codex":[0.9988043,0.0000512648,0.00001677461,0.000128082,0.0002884009,0.0007111886],"domain_scores_gemma":[0.9987782,0.00003873549,0.00002240205,0.00003812251,0.0004487723,0.0006737975],"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":[0.0003512026,0.0001463568,0.02211734,0.0003367595,0.00005746033,0.002521783,0.01307157,0.0005214091,0.001506027,0.1017873,0.7143592,0.1432238],"study_design_scores_gemma":[0.00001299351,0.00001563919,0.01660048,0.0001112326,0.000008502278,0.000102018,0.01080954,0.00006731763,0.0001889888,0.0008497035,0.9712137,0.00001980428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05578383,0.003048745,0.0007584072,0.01944552,0.002523143,0.0002150815,0.003786828,0.0003784227,0.9140599],"genre_scores_gemma":[0.1370702,0.001364859,0.0007060135,0.003390366,0.00007596268,0.0000627698,0.001219953,0.0001760595,0.855934],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09085029,"threshold_uncertainty_score":0.3039245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043575912246819,"score_gpt":0.1875579183152971,"score_spread":0.1771221591928289,"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."}}