{"id":"W4398282989","doi":"10.7910/dvn/kv19nn/uspq2p","title":"jackknife2.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); Poverty; Plan (archaeology); Displacement (psychology); Political science; Biology; Geography; Virology; Computer science; Psychology; 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":[0.003489542,0.004900676,0.002829432,0.007488688,0.001645878,0.004894265,0.00728527,0.003664427,0.2074022],"category_scores_gemma":[0.01434996,0.001829181,0.002961988,0.008996488,0.001053246,0.002754244,0.003794919,0.003799434,0.2264642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676506,"about_ca_system_score_gemma":0.002987231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342735,"about_ca_topic_score_gemma":0.02646931,"domain_scores_codex":[0.9980584,0.0004134166,0.0001921482,0.0006364529,0.0003718238,0.0003278104],"domain_scores_gemma":[0.9948813,0.002076137,0.0003459921,0.001633252,0.0006099619,0.0004533997],"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":[0.00005292949,0.00003284383,0.0005890366,0.0004655732,0.00005544683,0.00001624692,0.00002192637,0.000236885,0.00005027673,0.0003842054,0.9960179,0.002076676],"study_design_scores_gemma":[0.0008719231,0.00004438141,0.002783442,0.0004746175,0.00008640019,0.00009793777,0.00008428138,0.001721934,0.0007027918,0.003759505,0.9893078,0.00006493423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002572593,0.0001190952,0.0003182933,0.0001304166,0.00007841081,0.00002695073,0.9933785,0.00464605,0.001045049],"genre_scores_gemma":[0.0009311023,0.0001135282,0.001103289,0.00009923936,0.00003474568,0.000227607,0.9950085,0.001256302,0.001225832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7925978,"threshold_uncertainty_score":0.6938294,"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."}}