{"id":"W4398349534","doi":"10.7910/dvn/kv19nn/tzchqj","title":"jackknife3.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":"Coca; Replication (statistics); State (computer science); Poverty; Plan (archaeology); Displacement (psychology); Political science; Geography; Biology; Economic growth; Computer science; Psychology; Virology; Economics; 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":[0.003274539,0.004866002,0.00280277,0.007395495,0.001631508,0.004990526,0.007179862,0.003668835,0.2194298],"category_scores_gemma":[0.01408787,0.001826404,0.002987345,0.009036047,0.001032586,0.002797998,0.003820622,0.003624321,0.231314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702414,"about_ca_system_score_gemma":0.00299722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389875,"about_ca_topic_score_gemma":0.02707027,"domain_scores_codex":[0.9980662,0.0003875591,0.0001920129,0.0006500339,0.0003727419,0.0003313591],"domain_scores_gemma":[0.9949575,0.002016486,0.000348288,0.001604159,0.0006159546,0.0004577255],"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":[0.00005074879,0.00003012567,0.0005857441,0.0004972512,0.00005414554,0.00001632811,0.00002180739,0.0002204246,0.00005079391,0.0003700063,0.9960952,0.002007329],"study_design_scores_gemma":[0.0008166942,0.0000422122,0.002688325,0.0004798587,0.00008255147,0.00009808503,0.00008417523,0.001538684,0.0006724492,0.00359871,0.9898368,0.0000614797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002272563,0.0001142324,0.0002800786,0.0001216514,0.00007183498,0.0000241237,0.9936865,0.004455855,0.00101846],"genre_scores_gemma":[0.00087724,0.0001124022,0.0009822752,0.00009720469,0.00003358968,0.0002039491,0.9953178,0.00118092,0.001194584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7805701,"threshold_uncertainty_score":0.7340659,"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."}}