{"id":"W4398549543","doi":"10.7910/dvn/kv19nn/y4zn0u","title":"jackknife2pw.tab","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Replication (statistics); Coca; State (computer science); Displacement (psychology); Poverty; Plan (archaeology); Political science; Development economics; Geography; Biology; Computer science; Psychology; Virology; Economics; Archaeology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002887585,0.004055306,0.002406278,0.007094772,0.001499768,0.004551769,0.005633413,0.00315159,0.1793509],"category_scores_gemma":[0.01458331,0.001430991,0.002489397,0.009098083,0.0009356965,0.002512883,0.003359936,0.003381308,0.1947314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595533,"about_ca_system_score_gemma":0.002919494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01582807,"about_ca_topic_score_gemma":0.03048173,"domain_scores_codex":[0.9981688,0.0003750985,0.0001906497,0.0005806721,0.0003770787,0.0003076517],"domain_scores_gemma":[0.994801,0.002051884,0.0003821691,0.001606975,0.0007091506,0.0004487168],"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":[0.00004360484,0.00002457507,0.0007056377,0.0004270585,0.0000443263,0.00001488127,0.00002215067,0.0001993395,0.00004582929,0.0003972022,0.9963666,0.001708867],"study_design_scores_gemma":[0.0005225144,0.00002783378,0.003078392,0.0004078737,0.00006493017,0.00007727389,0.00008698832,0.00103494,0.0005011196,0.00261132,0.9915375,0.00004937678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001964535,0.00008350101,0.0001865781,0.0001006458,0.00005063129,0.00001638961,0.996317,0.002218291,0.0008303551],"genre_scores_gemma":[0.0007564793,0.00008801075,0.0006344953,0.00006652607,0.00002425157,0.0001527863,0.9966035,0.0006550704,0.001018816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820649,"threshold_uncertainty_score":0.5999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618307481190262,"score_gpt":0.2943643798889715,"score_spread":0.2681813050770689,"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."}}