{"id":"W2443572319","doi":"10.51644/jrvb6941","title":"Reconciliation: All Our Relations","year":2016,"lang":"en","type":"article","venue":"Consensus","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Political science","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":[0.01310278,0.0006003421,0.0007699284,0.002336716,0.02284373,0.01814924,0.002718617,0.003943151,0.005728068],"category_scores_gemma":[0.01996636,0.0003418586,0.0005163692,0.003187213,0.05289127,0.01546224,0.01556936,0.007140534,0.0009508224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01304698,"about_ca_system_score_gemma":0.03551104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07680761,"about_ca_topic_score_gemma":0.068107,"domain_scores_codex":[0.9797662,0.01189931,0.0004580594,0.001616027,0.003789538,0.002470915],"domain_scores_gemma":[0.9863495,0.003572121,0.001266639,0.002399393,0.004239532,0.002172833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001372752,0.00002634306,0.001417803,0.0001093371,0.00002833271,0.0004615854,0.550991,0.0001707974,0.0005200404,0.3946421,0.01366554,0.0379534],"study_design_scores_gemma":[0.000005332409,0.00002119136,0.001527389,0.0003298073,0.0000244428,0.0003248139,0.4221898,0.0002499219,0.0004238919,0.1462817,0.4285764,0.00004529899],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1430731,0.01037301,0.06410129,0.2184762,0.002705902,0.0002882966,0.0001238243,0.0008257534,0.5600326],"genre_scores_gemma":[0.9606143,0.001306603,0.006517394,0.004404459,0.0002077944,0.00007065637,0.0000439896,0.000183347,0.02665145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07680761,"threshold_uncertainty_score":0.1527211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578704126057255,"score_gpt":0.3413168805809815,"score_spread":0.283446467975256,"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."}}