{"id":"W2905123011","doi":"","title":"Teachers Walking Together for Truth and Reconciliation","year":2018,"lang":"en","type":"article","venue":"2018 Conference of the Canadian Society for the Study of Education","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01221678,0.0004692956,0.0008588151,0.003186058,0.06797363,0.01887272,0.002496918,0.005484045,0.03024987],"category_scores_gemma":[0.03682648,0.0005857702,0.0005691061,0.003112341,0.03323575,0.01170081,0.01492839,0.01346099,0.004280583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03469782,"about_ca_system_score_gemma":0.1608618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4572408,"about_ca_topic_score_gemma":0.7260607,"domain_scores_codex":[0.9811194,0.007273891,0.0004284725,0.001437718,0.005265916,0.004474691],"domain_scores_gemma":[0.9663597,0.007845778,0.001888853,0.002583733,0.009641535,0.01168041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002936411,0.00007025526,0.00385941,0.0001248638,0.00001979299,0.0004516921,0.420126,0.0001604327,0.0004061569,0.2299675,0.2838305,0.06095394],"study_design_scores_gemma":[0.000008869781,0.00001101408,0.001151337,0.0002034214,0.000009814077,0.0001112856,0.1721944,0.00008587558,0.0002046502,0.03366637,0.7923244,0.0000285614],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04684609,0.006117773,0.01336123,0.3965194,0.006171427,0.0002609661,0.0002476177,0.0006247642,0.5298508],"genre_scores_gemma":[0.7557552,0.003641012,0.01140008,0.02278139,0.0008199842,0.0001416999,0.000219124,0.0005827571,0.2046587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5427592,"threshold_uncertainty_score":0.9091588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1463174951642898,"score_gpt":0.3750688582502358,"score_spread":0.228751363085946,"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."}}