{"id":"W6959574874","doi":"10.11575/jet.v29i2.52397","title":"Understanding Change in Education: Rural and Remote Regions of Canada","year":2018,"lang":"en","type":"article","venue":"University of Calgary","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rural area; Population; Work (physics); Government (linguistics)","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":[0.001141877,0.0002619664,0.0005091436,0.001765773,0.0103026,0.00674622,0.001200115,0.0009418489,0.004874911],"category_scores_gemma":[0.002917267,0.0002424847,0.0002986123,0.00458969,0.004376014,0.001868115,0.003523911,0.002073907,0.0001673102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09559403,"about_ca_system_score_gemma":0.1123103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961814,"about_ca_topic_score_gemma":0.998645,"domain_scores_codex":[0.9986247,0.0001805227,0.00002502148,0.0001381307,0.0002604555,0.0007712387],"domain_scores_gemma":[0.9976552,0.0003820143,0.0001823116,0.00005403102,0.0008221577,0.0009042666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002613635,0.0003930785,0.462741,0.0005898568,0.0001732658,0.000880827,0.2220426,0.002196685,0.001209587,0.03205803,0.02592191,0.2515318],"study_design_scores_gemma":[0.00001893393,0.00003850532,0.5559774,0.0006213855,0.00007743873,0.00008558453,0.3817631,0.0006316426,0.0003594347,0.004837024,0.05555109,0.00003858182],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793709,0.01236561,0.001099675,0.04544177,0.000151655,0.000100222,0.0009890373,0.0000313497,0.06044974],"genre_scores_gemma":[0.9909806,0.002874351,0.000331725,0.0009672851,0.00001134819,0.00001916536,0.0001232631,0.000009797018,0.004682625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09559403,"threshold_uncertainty_score":0.6935865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588734941318329,"score_gpt":0.2034527142381174,"score_spread":0.1575653648249341,"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."}}