{"id":"W6950963082","doi":"10.5683/sp3/sxiqpw","title":"PCCF+: Postal Code Conversion File Plus","year":2015,"lang":"en","type":"dataset","venue":"Borealis","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Census; Software; Code (set theory); Open source; Source code; Zip code; Open source software","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009183329,0.0001958687,0.0001982445,0.00003398724,0.0000629116,0.00003059281,0.0003321067,0.0002015872,0.0536503],"category_scores_gemma":[0.00004298128,0.0001803554,0.00006816002,0.00007460976,0.0001438015,0.0001329042,0.0001023518,0.0001926321,0.001717733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216328,"about_ca_system_score_gemma":0.00004521083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1000496,"about_ca_topic_score_gemma":0.03219018,"domain_scores_codex":[0.9987881,0.00005505426,0.0001472442,0.0003526175,0.0004689687,0.0001880432],"domain_scores_gemma":[0.9992903,0.00006237687,0.00006108181,0.0003966207,0.00001600892,0.0001736473],"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":[0.00002462379,0.00003061999,0.00002111775,0.000004526452,0.00001603543,0.00003682493,0.00003495803,0.000006085476,0.000007457676,0.000002046553,0.9994174,0.0003983678],"study_design_scores_gemma":[0.0004353006,0.00004150019,0.004076255,0.00001266014,0.00003976461,0.00000395756,0.00002506488,0.00004198365,0.00004417167,0.00002084887,0.995038,0.0002204478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003317677,0.00002184384,0.00001435987,0.0001333164,0.0001166459,0.0001675915,0.984745,0.00002687712,0.01474114],"genre_scores_gemma":[0.00009847227,0.0000537739,0.00003266575,0.0005030114,0.00006680685,0.00001812307,0.9982933,0.00001332242,0.000920518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06785946,"threshold_uncertainty_score":0.9990596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608534022830098,"score_gpt":0.2405350861037992,"score_spread":0.2244497458754982,"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."}}