{"id":"W4393479089","doi":"10.5281/zenodo.3336544","title":"TEST CONP-NEUROHUB","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Test (biology); Mathematics; Computer science; Biology; Botany","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":[0.001345386,0.004668866,0.001601126,0.002662575,0.0009514245,0.002059964,0.002693965,0.002810146,0.04021131],"category_scores_gemma":[0.00630605,0.0005828594,0.002215461,0.001702752,0.0007388967,0.001360268,0.001466149,0.002147858,0.03846781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651129,"about_ca_system_score_gemma":0.002537873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217619,"about_ca_topic_score_gemma":0.04391804,"domain_scores_codex":[0.9985188,0.000203763,0.00008747908,0.0006957434,0.000277362,0.0002169315],"domain_scores_gemma":[0.9982131,0.0006490251,0.00007143075,0.0005748883,0.0003346821,0.0001568661],"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":[0.0005763038,0.0001653712,0.002968161,0.0004455965,0.0001967698,0.00007338776,0.00001236451,0.003793231,0.0008387622,0.0005391277,0.967487,0.02290397],"study_design_scores_gemma":[0.004622163,0.0008079798,0.03115976,0.0005710862,0.0005612514,0.001061,0.0004850112,0.1537471,0.01651568,0.01495879,0.7753153,0.0001948616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02597788,0.002640871,0.005653662,0.001783314,0.001327014,0.0003012047,0.9144847,0.03576087,0.0120705],"genre_scores_gemma":[0.02144725,0.0002100328,0.005547427,0.0004743623,0.0001014102,0.0001766841,0.9649517,0.001333784,0.005757328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9597887,"threshold_uncertainty_score":0.1345202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05181526792342713,"score_gpt":0.2952316769894173,"score_spread":0.2434164090659901,"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."}}