{"id":"W7101005467","doi":"","title":"“GOOD, STEADY PROGRESS”: SUCCESS STORIES FROM ONTARIO ELEMENTARY SCHOOLS IN CHALLENGING CIRCUMSTANCES","year":2015,"lang":"en","type":"article","venue":"","topic":"Educational Environments and Student Outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Narrative; Government (linguistics); Work (physics); Process (computing)","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":[0.005107605,0.0005499958,0.0007975773,0.001301409,0.03691137,0.01007658,0.002249633,0.003069739,0.002688237],"category_scores_gemma":[0.01478999,0.0006456496,0.0004186121,0.003145915,0.01108958,0.004184036,0.01006295,0.008084816,0.0004266001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05133466,"about_ca_system_score_gemma":0.0674644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9025918,"about_ca_topic_score_gemma":0.9792529,"domain_scores_codex":[0.9929472,0.001805921,0.0002011566,0.0003754141,0.001673324,0.002996925],"domain_scores_gemma":[0.9839031,0.003212565,0.001834678,0.0003662443,0.003060733,0.00762272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004571523,0.00008762492,0.03667294,0.00004324803,0.00001491993,0.0008512242,0.9391662,0.00005814033,0.0001299076,0.002705113,0.01398315,0.00624182],"study_design_scores_gemma":[0.000003547686,0.00002006508,0.02487547,0.00007862998,0.000009322908,0.00005964502,0.9546696,0.00003333812,0.00007902006,0.0003633779,0.0197834,0.00002471179],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453123,0.0005810848,0.0001544516,0.02645704,0.0001599123,0.00004829029,0.0002295303,0.00001449307,0.02704288],"genre_scores_gemma":[0.9912263,0.000600906,0.00009549744,0.001189101,0.00003011403,0.00003095877,0.0000758084,0.00002583505,0.006725552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09740818,"threshold_uncertainty_score":0.3724608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05529574169473053,"score_gpt":0.3510408214177912,"score_spread":0.2957450797230607,"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."}}