{"id":"W4398456211","doi":"10.7910/dvn/mv25mz/nowpag","title":"common_hh_NSS_sch1.do","year":2019,"lang":"fi","type":"dataset","venue":"Harvard Dataverse","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography","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":[0.00139326,0.003527211,0.002154022,0.006373009,0.001431737,0.003737919,0.004964204,0.002643293,0.2066693],"category_scores_gemma":[0.00897281,0.001126402,0.001272956,0.008930274,0.0008608658,0.002586113,0.003911792,0.001841053,0.2001335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813532,"about_ca_system_score_gemma":0.002896981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955688,"about_ca_topic_score_gemma":0.02962655,"domain_scores_codex":[0.998763,0.0001984505,0.0001177293,0.0004260065,0.0002589512,0.000235919],"domain_scores_gemma":[0.9973232,0.000779334,0.0002718632,0.0008058822,0.0003855245,0.0004341658],"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":[0.00009189676,0.00001442864,0.0006339889,0.0007934688,0.00004352976,0.00002465394,0.00003387419,0.0001973915,0.0001625121,0.001023457,0.9949469,0.00203397],"study_design_scores_gemma":[0.0002711593,0.00001705838,0.001998019,0.0003167868,0.00004249605,0.00005596228,0.00006070241,0.0004890317,0.0005468357,0.002888059,0.9932688,0.00004514816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009341048,0.00007359067,0.00008519986,0.00007243062,0.00001391999,0.000007027252,0.9973812,0.001363379,0.0009098473],"genre_scores_gemma":[0.0005353703,0.00007550073,0.0002766711,0.00006827587,0.000007709149,0.00005784807,0.9980441,0.0004041065,0.0005304574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7933307,"threshold_uncertainty_score":0.6913779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025259844184551,"score_gpt":0.2855459319718388,"score_spread":0.2602860877872878,"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."}}