{"id":"W163026526","doi":"10.7202/1030377ar","title":"Services de coupures de presse dans les bibliothèques parlementaires du Canada : de l’imprimé à l’électronique","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"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":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001759103,0.0003321811,0.0003214035,0.003880901,0.00108894,0.009758195,0.0006637559,0.0002703019,0.005741505],"category_scores_gemma":[0.0001563725,0.0004524347,0.0001210301,0.004485751,0.0006987237,0.008982241,0.00009352804,0.0003553319,0.00002641954],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01155154,"about_ca_system_score_gemma":0.01966965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986641,"about_ca_topic_score_gemma":0.9997348,"domain_scores_codex":[0.9958417,0.001178473,0.0004989714,0.0004527993,0.0009162843,0.001111759],"domain_scores_gemma":[0.9978325,0.0002972772,0.0003414551,0.0002735198,0.0003174531,0.0009377626],"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":[0.00008802688,0.0002040091,0.08688445,0.0003800659,0.0001974696,0.0001388542,0.1239094,0.0007051601,0.0009375797,0.07030781,0.7140333,0.00221387],"study_design_scores_gemma":[0.0005782886,0.000166186,0.01206762,0.000164334,0.0001525838,0.00003435917,0.02406464,0.0003039936,0.002409218,0.007063982,0.9524721,0.0005227173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7728691,0.1142913,0.003201317,0.03582506,0.001950335,0.0009053455,0.0004925251,0.0003896636,0.07007539],"genre_scores_gemma":[0.8068081,0.1539948,0.00116796,0.0067348,0.001235793,0.0001686728,0.0001234819,0.00008552369,0.02968084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2384388,"threshold_uncertainty_score":0.9997928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603849667945773,"score_gpt":0.2922702042470599,"score_spread":0.2762317075676022,"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."}}