{"id":"W4398308150","doi":"10.7910/dvn/kv19nn/5rcktx","title":"jackknife1pw.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; Poverty; State (computer science); Plan (archaeology); Displacement (psychology); Political science; Development economics; Geography; Economic growth; Biology; Computer science; Economics; Psychology; Virology; Archaeology","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":[0.002817564,0.004142247,0.00233561,0.007231791,0.001540749,0.004433502,0.005305104,0.003107559,0.1777855],"category_scores_gemma":[0.01497491,0.001386229,0.002375194,0.009184907,0.0008927049,0.002480565,0.003192648,0.003290383,0.1923206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648323,"about_ca_system_score_gemma":0.002917659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612644,"about_ca_topic_score_gemma":0.03120045,"domain_scores_codex":[0.9981561,0.0003794714,0.000194522,0.0005954702,0.0003746619,0.0002997018],"domain_scores_gemma":[0.9946362,0.002190863,0.0003931231,0.001592113,0.0007521007,0.0004355385],"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":[0.00004430661,0.00002435336,0.0007403881,0.0004306566,0.00004202818,0.00001477752,0.00002086338,0.0002050396,0.00004606518,0.00039315,0.9962262,0.001812164],"study_design_scores_gemma":[0.0005138209,0.0000281692,0.003246124,0.0004225836,0.00006352224,0.00007752417,0.00008625754,0.001064157,0.0004882127,0.002540881,0.9914209,0.00004791349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002006371,0.00008394587,0.0001771832,0.0001006618,0.00004965396,0.00001682997,0.9965588,0.001953831,0.0008584689],"genre_scores_gemma":[0.0007150266,0.00008594295,0.0005980969,0.00006298247,0.00002280028,0.0001442753,0.9967885,0.0005628584,0.001019615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8222145,"threshold_uncertainty_score":0.5947517,"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."}}