{"id":"W6898766113","doi":"10.57745/iqce4q","title":"WD_Heritability.rds","year":2025,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Selection (genetic algorithm); Identification (biology); Term (time)","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","open_science","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003843599,0.0006189439,0.000939178,0.0001431502,0.0001816442,0.0005277787,0.01573855,0.001429184,0.00007540912],"category_scores_gemma":[0.003226725,0.0006048259,0.0001403083,0.001634036,0.0001187775,0.001080021,0.003901079,0.002338153,0.0002357286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910765,"about_ca_system_score_gemma":0.001480189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183367,"about_ca_topic_score_gemma":0.0001993789,"domain_scores_codex":[0.9945399,0.0009942058,0.0008594468,0.002198232,0.0006786028,0.0007296226],"domain_scores_gemma":[0.9847842,0.0009170809,0.0003720467,0.01341565,0.0002478825,0.0002630943],"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":[0.000003674185,0.0001253982,0.000008428636,0.0005555604,0.00005595215,0.00002963996,0.00001748635,0.000003355042,0.000003464645,0.000259461,0.9789749,0.01996264],"study_design_scores_gemma":[0.0002655884,0.00002341816,0.00003513335,0.0004726419,0.00002935885,0.0000116896,0.000005995548,0.002250232,0.000009307882,0.0003736076,0.9959304,0.0005926516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.412182e-7,0.003787552,0.08816395,0.001196691,0.002222177,0.0004651435,0.9031915,0.0002237922,0.0007484261],"genre_scores_gemma":[0.000001492005,0.00125879,0.01988477,0.001213744,0.000363153,0.00008529972,0.9745142,0.00001202173,0.002666542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07132266,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1769239262638871,"score_gpt":0.3976686805661551,"score_spread":0.220744754302268,"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."}}