{"id":"W1997662426","doi":"10.1177/0340035208102036","title":"Ikajarutit: delivering legislative library services in an Inuktitut language environment","year":2009,"lang":"en","type":"article","venue":"IFLA Journal","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Government (linguistics); Political science; Public administration; Library science; Public relations; Linguistics; Law; Computer science","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":[0.001468871,0.0001910591,0.0001200778,0.0004377791,0.01856232,0.004917615,0.001417164,0.001457533,0.02136508],"category_scores_gemma":[0.002768709,0.0002915371,0.0002006882,0.0009219259,0.00139757,0.001795011,0.003328609,0.00153577,0.004089674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008513444,"about_ca_system_score_gemma":0.04477679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.323574,"about_ca_topic_score_gemma":0.7154768,"domain_scores_codex":[0.9987314,0.000306528,0.0000300387,0.00007437231,0.0002236336,0.0006340967],"domain_scores_gemma":[0.9976804,0.0001925953,0.00009113867,0.00005483943,0.0004079658,0.001573115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003665368,0.002294096,0.05451684,0.0009399127,0.00003648539,0.01174857,0.1561678,0.001142843,0.01050084,0.02003018,0.3479962,0.3942598],"study_design_scores_gemma":[0.00007230169,0.0003320173,0.08623513,0.0002843857,0.00003484654,0.00134947,0.1647519,0.00113033,0.002992979,0.0009271918,0.7418101,0.00007933452],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4725664,0.003250484,0.004034026,0.04754651,0.0009813027,0.001212701,0.0006117543,0.002141381,0.4676554],"genre_scores_gemma":[0.7301512,0.001817918,0.01050327,0.01012676,0.0001264661,0.0005584742,0.0004963559,0.0003044505,0.2459152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.676426,"threshold_uncertainty_score":0.6433812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519570193911617,"score_gpt":0.2860479159532441,"score_spread":0.270852214014128,"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."}}