{"id":"W6973626205","doi":"10.57745/mkmu2e","title":"05_snp-chip-gbs-genotypes_concat-fill_beagle_rm-dup_filter-maf5.tab","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":"Identification (biology); Genotyping; Context (archaeology); Table (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":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.009321337,0.002797446,0.002784261,0.001089599,0.0003796199,0.001049404,0.0164717,0.005194684,0.00381133],"category_scores_gemma":[0.00788187,0.002819996,0.0005948708,0.004140846,0.0007482042,0.001589889,0.007551148,0.01311895,0.4703046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003669,"about_ca_system_score_gemma":0.002431016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520647,"about_ca_topic_score_gemma":0.001914718,"domain_scores_codex":[0.9834064,0.003198582,0.00232482,0.006044839,0.002330762,0.002694654],"domain_scores_gemma":[0.9731507,0.002951146,0.001195454,0.0213635,0.0004465402,0.0008926526],"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":[0.0001399125,0.0003403663,0.00001532971,0.002099764,0.0009625849,0.000561724,0.00009043764,0.000007949282,0.0008468697,0.00002647615,0.9841276,0.01078093],"study_design_scores_gemma":[0.0008912054,0.0001224872,0.00005320209,0.001702767,0.001449393,0.0001677358,0.00004581988,0.000409541,0.0003418638,0.000571366,0.9912102,0.003034439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004066507,0.02613752,0.0001049687,0.0005450204,0.005827508,0.001844276,0.9624634,0.001387305,0.001649377],"genre_scores_gemma":[0.000007016506,0.008358059,0.006480801,0.001214605,0.004865812,0.0003549246,0.9703032,0.001103807,0.007311725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4664933,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3174205420287842,"score_gpt":0.4229874154562563,"score_spread":0.1055668734274722,"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."}}