{"id":"W2916709113","doi":"10.7202/1055813ar","title":"Le marché du travailen bibliotechnique","year":2019,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège de Maisonneuve","funders":"","keywords":"Humanities; Political science; Art; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0005313957,0.0003352532,0.0003222101,0.003837215,0.0001424058,0.02707295,0.00061507,0.0001962188,0.004548498],"category_scores_gemma":[0.00005849766,0.0002690104,0.0001810862,0.008971954,0.0001395983,0.07188156,0.0002989354,0.0002721719,0.001624773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008927401,"about_ca_system_score_gemma":0.0004746564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005368758,"about_ca_topic_score_gemma":0.0002772002,"domain_scores_codex":[0.9975416,0.0002622215,0.0005030042,0.0006065016,0.0005610191,0.0005256399],"domain_scores_gemma":[0.9984317,0.0002148978,0.0002435114,0.0005240523,0.0003067814,0.0002790245],"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":[0.00002008727,0.000202918,0.0009026244,0.0001159168,0.00004140573,0.0000295906,0.001456483,0.00008306913,0.005631143,0.8447569,0.1402448,0.006515077],"study_design_scores_gemma":[0.001251337,0.0006611506,0.01951897,0.0003519556,0.00001799079,0.0001892407,0.0002489545,0.002090844,0.02158451,0.07520578,0.8780699,0.0008093934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03851265,0.01562905,0.161297,0.09987263,0.003676937,0.00168051,0.00007571468,0.0008996747,0.6783559],"genre_scores_gemma":[0.8020645,0.0205527,0.006748837,0.00901603,0.0002810076,0.00003628374,0.00006649074,0.00004682091,0.1611873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7695512,"threshold_uncertainty_score":0.9999762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08800805705155264,"score_gpt":0.3288897078961864,"score_spread":0.2408816508446338,"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."}}