{"id":"W6912905310","doi":"10.5291/ill-data.3-01-718","title":"Beta decay of 84Se","year":2023,"lang":"en","type":"dataset","venue":"Institut Laue-Langevin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"BETA (programming language); Beta particle; Beta decay; Measure (data warehouse)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000886862,0.0009157531,0.001470112,0.001199443,0.0001456833,0.00009662395,0.002185421,0.0007643022,0.001023728],"category_scores_gemma":[0.0004482834,0.0008915778,0.0004283439,0.001533305,0.0004496519,0.0003085127,0.0008583128,0.001075612,0.2382829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373866,"about_ca_system_score_gemma":0.000823778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194878,"about_ca_topic_score_gemma":0.01203441,"domain_scores_codex":[0.9953494,0.0002303376,0.00113377,0.001054604,0.001317781,0.000914111],"domain_scores_gemma":[0.9956427,0.0002863679,0.000865489,0.002586418,0.0002883224,0.000330673],"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":[0.00006977002,0.0002496877,0.00003042745,0.0009462233,0.0003693482,0.0007957901,0.00002390955,0.00003819763,0.0002941167,0.0004183144,0.9965669,0.0001972993],"study_design_scores_gemma":[0.0008020579,0.00009029186,0.0001896033,0.0009074927,0.0005778935,0.00004135194,0.00002239764,0.000004068676,0.000735275,0.00001856856,0.9957496,0.0008614174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000229936,0.002321607,0.000001753438,0.00006006259,0.002560579,0.0009744643,0.9873874,0.0005305299,0.005933684],"genre_scores_gemma":[0.00007375398,0.0008068194,0.00005783206,0.0001228161,0.0009232376,0.0001729504,0.995617,0.0002635621,0.001961987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2372592,"threshold_uncertainty_score":0.9998895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0456546857144013,"score_gpt":0.3090929179626474,"score_spread":0.2634382322482461,"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."}}