{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002752027,0.0000645715,0.00007194457,0.00008203714,0.0003181838,0.0003869141,0.0002863027,0.00004644036,0.0006789341],"category_scores_gemma":[0.000005616304,0.00005787094,0.00002824554,0.0001519292,0.00006702211,0.005976657,0.00001642073,0.00016547,0.00003682976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003380091,"about_ca_system_score_gemma":0.0001427673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001201365,"about_ca_topic_score_gemma":0.000317471,"domain_scores_codex":[0.9991016,0.000122075,0.0001552096,0.0001197548,0.000276522,0.0002248448],"domain_scores_gemma":[0.9996737,0.00001675892,0.00007603624,0.00007037932,0.00000506063,0.0001581271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00008812759,0.0004905459,0.2144811,0.000009423169,0.0000144089,0.0009743742,0.5284607,0.001055319,0.01125368,0.02713373,0.0005991734,0.2154395],"study_design_scores_gemma":[0.001115797,0.0008740796,0.7508155,0.0002052431,0.00001460601,0.00005990006,0.08235472,0.001032686,0.004198994,0.02235776,0.1362274,0.0007433677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514443,0.0002212767,0.00003718412,0.002704103,0.0001086739,0.00006292736,0.000001637172,0.00002607627,0.04539377],"genre_scores_gemma":[0.997003,0.0001944002,0.0008569809,0.0007782439,0.0004602654,5.920308e-7,0.000003311056,0.000003081578,0.0007001603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5363344,"threshold_uncertainty_score":0.7433852,"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."}}