{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01891213,0.0005486301,0.001001053,0.01446554,0.01290158,0.02411924,0.002468323,0.002800184,0.03157745],"category_scores_gemma":[0.0471064,0.0007313169,0.0007941528,0.02806262,0.009176939,0.01078184,0.004393684,0.007365986,0.00266552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1141726,"about_ca_system_score_gemma":0.08339677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8704227,"about_ca_topic_score_gemma":0.9096068,"domain_scores_codex":[0.9746829,0.003535333,0.001061081,0.00219033,0.01620529,0.002325133],"domain_scores_gemma":[0.9034597,0.02600335,0.005394745,0.006424095,0.05337601,0.005342193],"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":[0.0002562341,0.0000795602,0.02925609,0.002060566,0.0001542674,0.0006300702,0.06610054,0.002073402,0.002501578,0.4400744,0.1577979,0.2990155],"study_design_scores_gemma":[0.00001078053,0.00002784955,0.04510834,0.001076795,0.00003049535,0.0001946753,0.01809324,0.0004964427,0.0009060411,0.007390496,0.926577,0.00008786652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1581973,0.07938769,0.01573322,0.2856297,0.004771754,0.0002438409,0.007267045,0.000975962,0.4477936],"genre_scores_gemma":[0.7460602,0.04423841,0.01110128,0.01276926,0.001789996,0.0001582593,0.002710415,0.0007390343,0.1804332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8704227,"threshold_uncertainty_score":0.8283842,"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."}}