{"id":"W2590022486","doi":"","title":"Reconciliation - Truth about What? Reconcile How?","year":2016,"lang":"en","type":"article","venue":"The Journal of Teaching and Learning","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Epistemology; Sociology; Computer science; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007934231,0.00005382995,0.000108871,0.00003713744,0.0009981566,0.0001857141,0.000148825,0.00005012038,0.00002331637],"category_scores_gemma":[0.003064714,0.00002879006,0.00004705007,0.00003935228,0.00009217722,0.0008050288,0.00001716024,0.0006013884,0.000004331178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007122309,"about_ca_system_score_gemma":0.00006063031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648719,"about_ca_topic_score_gemma":0.0001543722,"domain_scores_codex":[0.9978792,0.001531915,0.0001482419,0.0000518768,0.0002341311,0.0001546045],"domain_scores_gemma":[0.9985991,0.0009223505,0.0002803331,0.00005030082,0.00007716155,0.00007075288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000491858,0.00001431663,0.003577148,0.000005452207,0.00003421809,0.000003187833,0.1053011,0.00007341593,0.0005300849,0.005790495,0.001141831,0.8834796],"study_design_scores_gemma":[0.0009802299,0.0004017777,0.006913882,0.000866755,0.00009981063,0.00007751102,0.2673165,0.0004476706,0.00001928547,0.005877917,0.7167255,0.0002731961],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785284,0.001151882,0.0008336782,0.01457538,0.0004366797,0.00002902719,3.062305e-7,0.00001582305,0.004428827],"genre_scores_gemma":[0.9933922,0.003244143,0.0001682976,0.0001297485,0.0003787137,1.421501e-7,1.368662e-7,0.00000430873,0.00268234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8832064,"threshold_uncertainty_score":0.7677114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706947531127923,"score_gpt":0.2807775001527752,"score_spread":0.263708024841496,"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."}}