{"id":"W6931912946","doi":"10.5281/zenodo.8408282","title":"The EQIPD system - how to ensure research quality in the preclinical neuroscience research setting","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Preclinical research; Quality (philosophy); Translational research; Creativity; Medical research; Private sector; Quality of life (healthcare)","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":["metaresearch","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05050115,0.0001314208,0.000161378,0.0005954183,0.007891155,0.006055341,0.007856742,0.0000813909,0.00003771654],"category_scores_gemma":[0.01172424,0.00009304225,0.0000603064,0.006941815,0.0004487884,0.0004133147,0.004482727,0.001130418,0.006059239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106512,"about_ca_system_score_gemma":0.00002717685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000532267,"about_ca_topic_score_gemma":0.000006771667,"domain_scores_codex":[0.9842771,0.01069603,0.0004890683,0.0008639391,0.002606981,0.001066912],"domain_scores_gemma":[0.9947039,0.001549475,0.00009769425,0.001907428,0.001486377,0.0002551417],"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":[0.0000657714,0.0002423556,0.0001073836,0.0002496424,0.00001595764,0.00008448811,0.1181759,0.00005085887,0.004623256,0.3274158,0.4501213,0.09884724],"study_design_scores_gemma":[0.0002243095,0.0002044303,0.0107454,0.00006841508,0.000001153211,0.0000525702,0.008391622,0.0212951,0.0000740854,0.0008397666,0.9579566,0.0001465763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3905445,0.0004211928,0.02456671,0.4408784,0.002624735,0.01138935,0.000244092,0.007408096,0.1219229],"genre_scores_gemma":[0.9978988,0.00003124843,0.0000631626,0.0001976153,0.0001600691,0.000001189464,0.00003433193,0.0002321762,0.001381446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6073542,"threshold_uncertainty_score":0.9975112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.223785180944704,"score_gpt":0.3964567137248872,"score_spread":0.1726715327801832,"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."}}