{"id":"W6898919933","doi":"10.57745/dnfyze","title":"06_GWAS_Intensity_SW.Rmd","year":2024,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inuit Tapiriit Kanatami","funders":"","keywords":"Work (physics); Product (mathematics); Selection (genetic algorithm); Relation (database)","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","research_integrity","insufficient_payload"],"category_scores_codex":[0.007781726,0.001341731,0.001472981,0.0005663104,0.0001526609,0.0005472485,0.01061364,0.003385706,0.002255966],"category_scores_gemma":[0.01156251,0.001322492,0.0002681788,0.002210591,0.0004554988,0.0008061064,0.005473989,0.01030717,0.6099762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040706,"about_ca_system_score_gemma":0.001043489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296694,"about_ca_topic_score_gemma":0.001657161,"domain_scores_codex":[0.9913108,0.001542979,0.00106409,0.00340658,0.001378236,0.001297317],"domain_scores_gemma":[0.9819183,0.001523373,0.0004821998,0.01530278,0.0003911824,0.0003821458],"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":[0.00005104139,0.0001559917,0.000003856425,0.001043832,0.0004301383,0.0004979798,0.00003279017,0.000001965527,0.00009525789,0.000009677453,0.9953009,0.002376503],"study_design_scores_gemma":[0.0003013254,0.000044038,0.00001288401,0.001276301,0.0006834889,0.0001639043,0.00003528842,0.0002908751,0.0000791409,0.0005960803,0.9951078,0.001408914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005437691,0.009833157,0.00004654681,0.0007289466,0.003637325,0.0007565669,0.9832983,0.0008411741,0.0008525362],"genre_scores_gemma":[4.931553e-7,0.003622891,0.004687606,0.001567867,0.001954134,0.00008104484,0.9813419,0.0004416046,0.006302447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6077202,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4526089940885483,"score_gpt":0.4623728891804533,"score_spread":0.009763895091905062,"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."}}