{"id":"W2214451941","doi":"10.7202/1028900ar","title":"ISNI : un identifiant passerelle","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.001769731,0.0002427545,0.000231354,0.001695694,0.0001911827,0.02044942,0.001014071,0.0001191353,0.003194763],"category_scores_gemma":[0.00008435967,0.0002352151,0.0001021347,0.006116305,0.0001356133,0.1432679,0.0003247453,0.0001671683,0.004361925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010907,"about_ca_system_score_gemma":0.0006518255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007663223,"about_ca_topic_score_gemma":0.00001911667,"domain_scores_codex":[0.9968957,0.000423529,0.0007584149,0.0004229127,0.001043142,0.0004563181],"domain_scores_gemma":[0.9981003,0.0001060919,0.0003933715,0.0005479757,0.0004209901,0.0004312093],"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":[0.000009404933,0.0001046754,0.003092163,0.00006343767,0.00003751412,0.00002264076,0.0371324,0.0002996726,0.0001277869,0.3921318,0.5536603,0.01331825],"study_design_scores_gemma":[0.001025983,0.0002721699,0.003217601,0.0001486573,0.000008601484,0.000101589,0.005918559,0.0184902,0.007557999,0.03255894,0.9301963,0.0005033371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03573313,0.02457189,0.5973457,0.07583637,0.01908941,0.001047422,0.00005460399,0.0007390581,0.2455824],"genre_scores_gemma":[0.7011766,0.008689765,0.02275559,0.02329499,0.0009535616,0.00009789329,0.0001444449,0.00004897137,0.2428382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6654435,"threshold_uncertainty_score":0.9977164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976257128849517,"score_gpt":0.3220506071900668,"score_spread":0.2622880359015716,"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."}}