{"id":"W4287284732","doi":"10.5281/zenodo.4571616","title":"Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Österreichische Forschungsförderungsgesellschaft; European Commission; Canarie; Rural Development Administration; National Science Foundation","keywords":"Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1086405,0.001712742,0.003728067,0.02454339,0.006825691,0.03040116,0.007842914,0.004730953,0.005927213],"category_scores_gemma":[0.300223,0.00291857,0.002870655,0.02312358,0.005864935,0.06028759,0.02423597,0.008896891,0.01170154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003485701,"about_ca_system_score_gemma":0.01513833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006848417,"about_ca_topic_score_gemma":0.008065074,"domain_scores_codex":[0.9301357,0.0185479,0.01386472,0.01127972,0.02404229,0.002129709],"domain_scores_gemma":[0.5497432,0.09631709,0.0220236,0.2666519,0.05856982,0.006694505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008705895,0.00032536,0.02676367,0.002919748,0.0005035028,0.0005284364,0.01093101,0.002754544,0.01509552,0.1192171,0.1982184,0.6218721],"study_design_scores_gemma":[0.0001231716,0.0001704704,0.006894652,0.002022309,0.0002855457,0.0007304995,0.004865589,0.009461294,0.02077172,0.1059298,0.8482818,0.0004630423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02680802,0.005790425,0.8316667,0.03664755,0.004020891,0.002726638,0.02331548,0.04797593,0.02104839],"genre_scores_gemma":[0.07431071,0.005274245,0.8409697,0.004966242,0.001742362,0.001636289,0.04541966,0.01153125,0.01414951],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9695988,"threshold_uncertainty_score":0.574553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06710193405807836,"score_gpt":0.2758524705499475,"score_spread":0.2087505364918691,"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."}}