{"id":"W4398944589","doi":"10.7910/dvn/ycxxcw","title":"Replication Data for: The Local Mwananchi Has Lost Trust","year":2016,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replication (statistics); Computer science; Biology; Virology","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001327479,0.0002564172,0.0003031819,0.00005130372,0.001597266,0.0002764284,0.003679764,0.0002712868,0.007468271],"category_scores_gemma":[0.00186115,0.0001687825,0.000103336,0.0001713015,0.001085018,0.0003212103,0.001145506,0.0002195142,0.03522614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118786,"about_ca_system_score_gemma":0.0005038831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004217037,"about_ca_topic_score_gemma":0.008756832,"domain_scores_codex":[0.9975658,0.0001193464,0.0003203611,0.0009458855,0.0005266756,0.0005219305],"domain_scores_gemma":[0.9918183,0.0005021534,0.0003050721,0.00709504,0.0001321887,0.0001472112],"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":[0.00003564314,0.00001858978,0.000004337664,0.00002101349,0.00009971059,0.000004907496,0.0002400301,1.009388e-7,1.302334e-7,0.0006906053,0.9846652,0.01421978],"study_design_scores_gemma":[0.0003333757,0.00001865545,0.00002321497,0.00005189372,0.0002463535,0.000001446023,0.002949934,0.00001309236,4.091126e-7,0.00006061309,0.9960496,0.0002513511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.374049e-7,0.00002109572,0.001454466,0.0009561969,0.00118116,0.0008717223,0.993604,0.00004085807,0.001870161],"genre_scores_gemma":[0.00002212234,0.001869975,0.00004978408,0.0007905718,0.002039332,0.00009032308,0.992752,0.00001940456,0.002366471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02775787,"threshold_uncertainty_score":0.9997025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08108302616425267,"score_gpt":0.3256422382046767,"score_spread":0.2445592120404241,"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."}}