{"id":"W4391461609","doi":"10.5281/zenodo.8091581","title":"Linking publications and data from two French national repositories","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Computer science; Data science; World Wide Web; Library science; Information retrieval","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0849419,0.001894801,0.001730521,0.02643296,0.006270936,0.01890706,0.005253553,0.004212683,0.01739812],"category_scores_gemma":[0.1647732,0.001078867,0.003428472,0.02480695,0.003046161,0.01481436,0.01873366,0.004861291,0.01201915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008470461,"about_ca_system_score_gemma":0.03405298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05801671,"about_ca_topic_score_gemma":0.03741794,"domain_scores_codex":[0.9072123,0.03173826,0.009806963,0.01041356,0.03621594,0.004612965],"domain_scores_gemma":[0.7563768,0.05245115,0.009261123,0.08529318,0.08454269,0.01207507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001715891,0.001297063,0.03060337,0.00829147,0.001272514,0.002551135,0.01099091,0.002992836,0.02090556,0.1252779,0.3580729,0.4360286],"study_design_scores_gemma":[0.0002015204,0.0002206356,0.01695694,0.002095709,0.0003431013,0.0007831379,0.003529159,0.002291656,0.01368797,0.01541434,0.9441417,0.0003341337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07738097,0.01216061,0.3415853,0.05106049,0.008638926,0.01075972,0.3414468,0.04396076,0.1130066],"genre_scores_gemma":[0.08412823,0.006151671,0.3318877,0.005445417,0.001507526,0.007284342,0.533061,0.006550405,0.02398367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9810929,"threshold_uncertainty_score":0.4492211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283953579797344,"score_gpt":0.3055414285943694,"score_spread":0.177146070614635,"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."}}