{"id":"W4236731501","doi":"10.1037/e581832010-001","title":"Methamphetamine Interdiction Summary Report: 2nd Quarter FY 2008","year":2009,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interdiction; Quarter (Canadian coin); Computer science; Engineering; Geography; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009683011,0.00209435,0.001567062,0.005386486,0.0007940283,0.001927351,0.00247643,0.001808757,0.04002846],"category_scores_gemma":[0.005126408,0.0008778438,0.001248457,0.008468502,0.0003053702,0.001114577,0.001330159,0.001909186,0.0377542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002842019,"about_ca_system_score_gemma":0.005889622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2578571,"about_ca_topic_score_gemma":0.3237852,"domain_scores_codex":[0.9991014,0.00007614365,0.0001274319,0.0001816441,0.000328962,0.0001844226],"domain_scores_gemma":[0.996874,0.0003922995,0.0006602797,0.0004216095,0.001380145,0.0002717089],"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":[0.00004642101,0.00002068045,0.001990566,0.0001541702,0.00002463787,0.00001305285,0.00001010142,0.0002204052,0.00002109777,0.0001316302,0.9959818,0.00138548],"study_design_scores_gemma":[0.0006400826,0.00005043102,0.06929275,0.0004431667,0.0001068045,0.00009594928,0.000218773,0.001705449,0.0006417332,0.0006200575,0.9261261,0.00005856436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001966578,0.00002230358,0.00001750728,0.00004964176,0.00001318636,0.000006448166,0.9993219,0.00006142871,0.0003109002],"genre_scores_gemma":[0.0006479578,0.00004636117,0.00006527874,0.00002816037,0.000007996802,0.00005140187,0.9976629,0.00001698353,0.001472933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2578571,"threshold_uncertainty_score":0.5127124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584495285636971,"score_gpt":0.3449758340527522,"score_spread":0.3191308811963824,"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."}}