{"id":"W4303635246","doi":"10.5281/zenodo.7156780","title":"FAIR principles in data life for humanities","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Council on Social Development","funders":"Horizon 2020 Framework Programme","keywords":"Digital humanities; Computer science; Humanities; Library science; Art","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.09653942,0.001283211,0.00219819,0.004797609,0.01098723,0.02600041,0.006839637,0.01411876,0.01410825],"category_scores_gemma":[0.09958979,0.001847766,0.003027851,0.004636964,0.04812659,0.0369262,0.01521698,0.02133676,0.007732629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009655003,"about_ca_system_score_gemma":0.0113646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051131,"about_ca_topic_score_gemma":0.005448161,"domain_scores_codex":[0.9252176,0.03921006,0.005306309,0.01008261,0.01781912,0.002364446],"domain_scores_gemma":[0.911701,0.04382777,0.002025434,0.02835432,0.01144523,0.002646264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004571704,0.000004130526,0.00002692347,0.00003092746,0.000005879047,0.00001189975,0.0002220231,0.0001128233,0.00002427872,0.992861,0.004167182,0.002528321],"study_design_scores_gemma":[0.00001428383,0.000006760129,0.00003090168,0.00009320863,0.000005778165,0.00003048481,0.00009119258,0.0003372807,0.0001167497,0.9120451,0.08721605,0.00001227484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002167612,0.00846206,0.6733617,0.1306971,0.004368467,0.0006477459,0.0007994922,0.0009404356,0.1785554],"genre_scores_gemma":[0.1727721,0.008398281,0.6632367,0.04684147,0.007379591,0.005029813,0.001328533,0.002004056,0.09300935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9931604,"threshold_uncertainty_score":0.5105553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1763367091278197,"score_gpt":0.339698807085189,"score_spread":0.1633620979573693,"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."}}