{"id":"W6931513852","doi":"10.5281/zenodo.6448021","title":"Opportunities for cross-disciplinary interoperability in SSH research data management","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"","keywords":"Interoperability; Data collection; Data management; Vocabulary; Work (physics); Domain (mathematical analysis)","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","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02462322,0.0001540846,0.0003251361,0.0003612953,0.002966015,0.0005880821,0.003456604,0.00005867214,0.01555733],"category_scores_gemma":[0.03279305,0.0001614428,0.00006140555,0.0006856124,0.0005273773,0.0002295875,0.01567106,0.0007583473,0.0003310796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004009073,"about_ca_system_score_gemma":0.0000101437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000646099,"about_ca_topic_score_gemma":5.991169e-7,"domain_scores_codex":[0.9926776,0.004148823,0.0008032626,0.0008705789,0.0009061199,0.0005936737],"domain_scores_gemma":[0.993132,0.004046813,0.0001469367,0.001875313,0.0006082543,0.0001906659],"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":[0.001293501,0.00157976,0.000025933,0.001165699,0.0001276411,0.0001429065,0.001653313,0.00004490975,0.0001912475,0.2433323,0.5388709,0.2115719],"study_design_scores_gemma":[0.001353099,0.0006219855,0.0004069975,0.00006437437,0.00002031507,0.00002559538,0.004116282,0.001353332,0.0000324054,0.2851223,0.706662,0.0002212914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1847232,0.0003213281,0.1549811,0.01824422,0.002740962,0.01875653,0.02845556,0.003685952,0.5880911],"genre_scores_gemma":[0.6052893,0.0003776387,0.3617529,0.0006423857,0.0009615071,0.00001368997,0.006065953,0.006332333,0.0185643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5695268,"threshold_uncertainty_score":0.998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8702764985652749,"score_gpt":0.587724648389847,"score_spread":0.2825518501754279,"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."}}