{"id":"W6905569694","doi":"10.15454/ilq12t/zjfrhw","title":"genotypes_54indvs.tar.gz","year":2020,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Genotyping; SNP genotyping; SNP; Population; Association (psychology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001720311,0.002154961,0.002358723,0.00221818,0.001405782,0.002395326,0.003207978,0.002583411,0.3424309],"category_scores_gemma":[0.00673178,0.001392651,0.001257291,0.004459249,0.0004381211,0.001152065,0.001963075,0.00197572,0.2076249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440182,"about_ca_system_score_gemma":0.00239353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637094,"about_ca_topic_score_gemma":0.02483713,"domain_scores_codex":[0.9988878,0.0002096049,0.0001296296,0.0003900104,0.0001777705,0.0002051023],"domain_scores_gemma":[0.9967347,0.001197759,0.0003666178,0.0007839991,0.0005363543,0.0003805923],"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":[0.0002802705,0.00005110183,0.001418871,0.0007407571,0.00005360035,0.00005406321,0.00003547419,0.0002063084,0.0003346942,0.0006766924,0.9930045,0.003143699],"study_design_scores_gemma":[0.001530204,0.00009194588,0.01190206,0.0005733045,0.0001279634,0.0002926239,0.00008031135,0.0002930023,0.001080667,0.00335811,0.9806005,0.00006919409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007619354,0.00001939955,0.00006459165,0.00003382684,0.00001165209,0.00001110343,0.9992635,0.0001391705,0.0003806782],"genre_scores_gemma":[0.0004262945,0.00003316023,0.0002565888,0.0000838436,0.00001094667,0.00009462837,0.9980567,0.0001919207,0.0008457683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6575691,"threshold_uncertainty_score":0.9379424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4913226558830226,"score_gpt":0.4377001093384771,"score_spread":0.05362254654454551,"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."}}