{"id":"W6977035143","doi":"10.6084/m9.figshare.12831231.v1","title":"Additional file 7 of Large-scale discovery of male reproductive tract-specific genes through analysis of RNA-seq datasets","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Gene; Candidate gene; Gene expression; Gene expression profiling; Reference genes; Polygene; Human genome","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":[],"category_scores_codex":[0.002012461,0.001634866,0.001923554,0.00240334,0.001367593,0.00202237,0.002597366,0.0014507,0.6749009],"category_scores_gemma":[0.01019184,0.0008748657,0.001306726,0.003078702,0.0004253835,0.001350066,0.001293424,0.001767538,0.1506254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102219,"about_ca_system_score_gemma":0.002167185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00539012,"about_ca_topic_score_gemma":0.01472376,"domain_scores_codex":[0.999062,0.0001115191,0.0001127781,0.0003305964,0.000246532,0.0001365354],"domain_scores_gemma":[0.9911783,0.006357696,0.0004270976,0.0007336045,0.0009700221,0.0003330923],"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":[0.0004759539,0.0001480187,0.003543068,0.004739912,0.0001850254,0.0001969698,0.0001207428,0.001384265,0.00380042,0.0009613063,0.9754806,0.008963818],"study_design_scores_gemma":[0.004701921,0.0004467018,0.04331486,0.001963473,0.0004430196,0.000869542,0.0004197252,0.006441249,0.008872547,0.009174857,0.9230219,0.0003300957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001820577,0.00002088874,0.0005743338,0.00003344432,0.0000230655,0.00003976861,0.9979398,0.0008039451,0.0003826677],"genre_scores_gemma":[0.003056468,0.0000714784,0.004440637,0.0002935901,0.00003455747,0.0007623395,0.9877538,0.001081601,0.0025055],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6749009,"threshold_uncertainty_score":0.4637143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931139473295664,"score_gpt":0.2313078881992037,"score_spread":0.2019964934662471,"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."}}