{"id":"W7125270867","doi":"10.5281/zenodo.18317740","title":"Generalist Repositories: Enabling Sharing & Reuse","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalist and specialist species; Generalist and specialist species; Metadata; Metadata; Reuse; Reuse; Data sharing; Data sharing; Best practice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.05803298,0.001019669,0.00146015,0.01022685,0.006279491,0.02500938,0.008357268,0.004613477,0.01170379],"category_scores_gemma":[0.09836057,0.002171714,0.002613327,0.01520406,0.005722249,0.04954474,0.04201021,0.004716276,0.007606626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00513914,"about_ca_system_score_gemma":0.01718533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01593882,"about_ca_topic_score_gemma":0.02036263,"domain_scores_codex":[0.9594932,0.01560125,0.00461759,0.004574048,0.01273167,0.002982243],"domain_scores_gemma":[0.8439384,0.02014918,0.006489688,0.1021546,0.01818659,0.009081466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003392235,0.0001902872,0.009441115,0.0008091254,0.0001966779,0.0006584604,0.009025183,0.001994284,0.003141642,0.4306,0.154243,0.3893611],"study_design_scores_gemma":[0.00007143323,0.00007525997,0.001958224,0.0007773956,0.0001029278,0.0006925928,0.002467545,0.003960263,0.003036177,0.1677008,0.8190097,0.0001476462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0233888,0.006992388,0.8019088,0.04421081,0.001763156,0.001361734,0.003648126,0.0363525,0.0803737],"genre_scores_gemma":[0.1549951,0.00999526,0.7432461,0.007522757,0.001796781,0.001270391,0.01782325,0.01279651,0.0505539],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9916427,"threshold_uncertainty_score":0.3069113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08782889788069499,"score_gpt":0.3165138260026336,"score_spread":0.2286849281219386,"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."}}