{"id":"W7103654491","doi":"10.25545/otyzpv/xtect4","title":"B. SCC use of pre-1970 decisions.tab","year":2025,"lang":"","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sample (material); Set (abstract data type); Selection (genetic algorithm); Identification (biology)","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":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.002429526,0.002830336,0.003750965,0.004904516,0.0007124066,0.0008084319,0.008427079,0.002364992,0.02419737],"category_scores_gemma":[0.03175837,0.003157819,0.001187262,0.0056274,0.002082625,0.003740416,0.01273656,0.003189494,0.08659149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146788,"about_ca_system_score_gemma":0.004723839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004821239,"about_ca_topic_score_gemma":0.001959458,"domain_scores_codex":[0.983119,0.001665531,0.004632379,0.004371801,0.003821289,0.002389971],"domain_scores_gemma":[0.9650005,0.006188093,0.003483071,0.02256365,0.001520274,0.001244461],"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":[0.003653133,0.002714661,0.00009437855,0.000871538,0.001647964,0.0006874452,0.0001184382,0.0004836487,0.0002331225,0.0002355959,0.9867454,0.002514646],"study_design_scores_gemma":[0.004035967,0.0003942375,0.0002831543,0.00620005,0.004451026,0.00004729786,0.0001731674,0.0007147608,0.0003887759,0.00006052817,0.9809895,0.002261518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006242068,0.0001853937,0.0003318719,0.000016378,0.004136882,0.003278606,0.9910799,0.0001682725,0.00017854],"genre_scores_gemma":[0.00007255862,0.006621366,0.006565034,0.0003801183,0.0005405219,0.0000866739,0.9809338,0.0002805513,0.004519334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06239412,"threshold_uncertainty_score":0.9991102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04867490336258525,"score_gpt":0.3129709572954019,"score_spread":0.2642960539328167,"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."}}