{"id":"W6992416508","doi":"","title":"L'avenir des ressources humaines dans les bibliothèques canadiennes /","year":2005,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Field (mathematics); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004290894,0.0005479977,0.0004656128,0.005830459,0.007057628,0.00988728,0.001409208,0.002369952,0.06537846],"category_scores_gemma":[0.00937246,0.000358802,0.0005164755,0.008981626,0.001894793,0.002032446,0.001951639,0.001997076,0.006356603],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06678741,"about_ca_system_score_gemma":0.09228475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9704817,"about_ca_topic_score_gemma":0.9840055,"domain_scores_codex":[0.9955902,0.0005780915,0.000121908,0.0003193146,0.0025239,0.0008665874],"domain_scores_gemma":[0.991126,0.001034955,0.000448665,0.0008104866,0.005173871,0.001406059],"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":[0.0001756134,0.00015703,0.01832572,0.0004059252,0.0000433684,0.0003033867,0.005690631,0.0007941243,0.000715834,0.1464963,0.6289735,0.1979186],"study_design_scores_gemma":[0.00002089815,0.00001401789,0.03545172,0.0001872056,0.00002021612,0.00005983269,0.001530179,0.0001981176,0.0006018323,0.001612629,0.9602798,0.00002337861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02138413,0.01204197,0.001525585,0.02841431,0.0008537976,0.0001930368,0.01030727,0.0005545294,0.9247254],"genre_scores_gemma":[0.0906598,0.002805521,0.001910172,0.001506133,0.0002096108,0.00008939089,0.001665282,0.0001756285,0.9009785],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9332126,"threshold_uncertainty_score":0.4845788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271011906213231,"score_gpt":0.2273492479901504,"score_spread":0.2146391289280181,"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."}}