{"id":"W6887838368","doi":"10.17632/6p5hb3mzgw.1","title":"Ash Recycling","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Raw material; Fly ash; Production (economics); Work (physics); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001822248,0.0006654089,0.0006531923,0.0004819315,0.000109281,0.0004595684,0.006636505,0.0005125108,0.003728058],"category_scores_gemma":[0.0006788536,0.000639503,0.00008887288,0.0006486761,0.00008206524,0.0004628199,0.007988712,0.001748928,0.6051562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268008,"about_ca_system_score_gemma":0.0003620685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004752108,"about_ca_topic_score_gemma":0.001362282,"domain_scores_codex":[0.9953534,0.0001809049,0.0006675913,0.00208188,0.0009766887,0.0007395395],"domain_scores_gemma":[0.9880855,0.00014595,0.0002531027,0.01125067,0.00005094294,0.0002138403],"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":[0.00001537343,0.0000622751,4.573075e-7,0.0003762222,0.0002800327,0.000364382,0.000004808609,0.000001336178,0.00002839618,0.000004855875,0.9977859,0.001076011],"study_design_scores_gemma":[0.0001717973,0.00002082386,6.08042e-7,0.0005660983,0.0006996016,0.0000562227,0.00001782387,0.0001529105,0.00001074198,0.0002190441,0.9973993,0.0006850157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.063197e-7,0.002757031,0.000004096782,0.0001393643,0.002699103,0.0003507445,0.9925646,0.000459448,0.001024775],"genre_scores_gemma":[5.295095e-7,0.0009871703,0.0005026105,0.0001992477,0.001687434,0.00003291711,0.9952952,0.0002642227,0.001030628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6014282,"threshold_uncertainty_score":0.9996056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1660442791381727,"score_gpt":0.3974956551509302,"score_spread":0.2314513760127575,"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."}}