{"id":"W4398261959","doi":"10.7910/dvn/kv19nn/5h4tli","title":"jackknife1pw-w-means.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; Geography; Biology; Computer science; Virology; 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":[0.002802263,0.004163193,0.002114357,0.006043691,0.001339759,0.003686254,0.005823661,0.003098915,0.1243546],"category_scores_gemma":[0.01335404,0.001224022,0.002515352,0.007600962,0.000881384,0.002075259,0.003252164,0.002836221,0.1462201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554187,"about_ca_system_score_gemma":0.00291007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058601,"about_ca_topic_score_gemma":0.04294696,"domain_scores_codex":[0.9983293,0.0003692784,0.0001717448,0.0005146322,0.0003489368,0.0002661343],"domain_scores_gemma":[0.9965909,0.001207158,0.000252146,0.001099083,0.0005759692,0.0002748905],"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":[0.00005104496,0.00003297977,0.0008335221,0.0004390872,0.0000572758,0.00001547464,0.00002663204,0.0002927423,0.00005436605,0.0004641954,0.99508,0.00265268],"study_design_scores_gemma":[0.0006107701,0.00003664235,0.003817088,0.000460065,0.00008414934,0.00007882138,0.0001150902,0.001758565,0.000652749,0.003288982,0.989036,0.0000611606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003153836,0.0001148166,0.0002902708,0.0001116544,0.0000623883,0.00002489175,0.9956977,0.002519708,0.0008632112],"genre_scores_gemma":[0.0009389397,0.00009986961,0.001045341,0.00006345157,0.00002258898,0.0001916327,0.9960721,0.0005015454,0.001064549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8756454,"threshold_uncertainty_score":0.4160075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557266723367578,"score_gpt":0.2905018675997858,"score_spread":0.26492920036611,"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."}}