{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002572865,0.00004020146,0.00005016269,0.00004247998,0.0002444564,0.00001746562,0.00007120956,0.00006237625,0.0002194648],"category_scores_gemma":[0.0003603323,0.00003079912,0.00004607765,0.0001127314,0.0001221306,0.00003125007,0.000009436304,0.00003428955,0.0005885296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004143061,"about_ca_system_score_gemma":0.0001340435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002737163,"about_ca_topic_score_gemma":0.0005584856,"domain_scores_codex":[0.9994132,0.00007166794,0.00009737808,0.00009944459,0.0001189125,0.0001993878],"domain_scores_gemma":[0.9995365,0.0001243359,0.00003456366,0.0001131256,0.00008689633,0.0001046399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001051983,0.00003760927,0.04676379,0.000003123289,0.00005674342,0.00001709063,0.01972871,5.91713e-7,0.000143653,0.3840418,0.4936711,0.05552523],"study_design_scores_gemma":[0.0001684899,0.000009195657,0.00388427,0.0000101971,0.000007978204,7.863792e-7,0.007275095,0.000001972586,0.00002029253,0.02447331,0.9640641,0.00008433603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1446731,0.0001487076,0.0001293271,0.1265172,0.0008676266,0.0001420647,0.00002303312,0.0001544119,0.7273445],"genre_scores_gemma":[0.9676812,0.00001160067,0.0003860289,0.0002868941,0.0002465446,0.000004057592,7.965546e-7,0.000004243335,0.03137859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8230082,"threshold_uncertainty_score":0.7564553,"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."}}