{"id":"W2278932976","doi":"10.5281/zenodo.46594","title":"assigner: new input file","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science","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":[0.0042594,0.006225117,0.002820637,0.003671253,0.002159635,0.005389854,0.004247623,0.003937264,0.5450327],"category_scores_gemma":[0.02307822,0.004201482,0.00356581,0.004226469,0.0008650689,0.005650261,0.006704711,0.003914838,0.4248226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002885383,"about_ca_system_score_gemma":0.002601321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004305009,"about_ca_topic_score_gemma":0.003398427,"domain_scores_codex":[0.9972129,0.0004312853,0.0002903961,0.001158684,0.0005465461,0.0003600493],"domain_scores_gemma":[0.9890079,0.00470141,0.000645026,0.002492691,0.002668556,0.0004843824],"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":[0.0004651959,0.00003924224,0.001167973,0.0007608489,0.00007265265,0.00007034696,0.00006608794,0.0004250903,0.0006261148,0.001322262,0.9837127,0.01127134],"study_design_scores_gemma":[0.0006921522,0.00005824003,0.002779793,0.0003415525,0.0001003543,0.0002170075,0.0001061958,0.002236844,0.006242558,0.01132911,0.9756925,0.0002036098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007910483,0.0001599759,0.0290172,0.0007774523,0.0006150473,0.0002718233,0.7378264,0.2212927,0.009248323],"genre_scores_gemma":[0.007003056,0.000196134,0.03372695,0.001703118,0.000487913,0.001600606,0.7178198,0.216348,0.02111445],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4549673,"threshold_uncertainty_score":0.6489556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544167969265526,"score_gpt":0.2455305170684671,"score_spread":0.2200888373758118,"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."}}