{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005382316,0.0002857854,0.0004406792,0.0003407215,0.0007733884,0.0004186607,0.0013558,0.0003846899,0.08680301],"category_scores_gemma":[0.0043683,0.0002532239,0.0001420402,0.0006688518,0.0004485547,0.00007674436,0.002098314,0.001520244,0.09098638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004182,"about_ca_system_score_gemma":0.0000222014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002032625,"about_ca_topic_score_gemma":1.012906e-7,"domain_scores_codex":[0.9968702,0.0001705234,0.0003866136,0.0007274422,0.001183491,0.0006617036],"domain_scores_gemma":[0.9972656,0.0001346465,0.0001253404,0.001085916,0.0007313964,0.0006570937],"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":[0.0001165601,0.0004302526,5.543887e-7,0.0007143872,0.00006289657,0.0001197802,0.00001624447,1.133275e-7,0.002548142,0.00001974857,0.9824004,0.0135709],"study_design_scores_gemma":[0.0009627207,0.0008033797,0.00005830731,0.0001912115,0.00006995569,0.0003689134,0.00002404811,0.00002147448,0.0003279722,0.00002207034,0.9969062,0.000243729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000125928,0.0001514082,0.00002351844,0.002520267,0.0001626946,0.0007440657,0.9640517,0.0003608069,0.03185959],"genre_scores_gemma":[0.0006434086,0.0006434935,0.00002318271,0.0009316219,0.0005080099,5.555838e-8,0.9907418,0.001221342,0.005287081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02669008,"threshold_uncertainty_score":0.999992,"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."}}