{"id":"W1557191771","doi":"10.7202/013939ar","title":"Labrador Inuttitut: Speaking into the future","year":2006,"lang":"en","type":"article","venue":"Études/Inuit/Studies","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Linguistics; Geography; History; Political science; Ethnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008886682,0.0002363036,0.0004416999,0.0007742529,0.01148095,0.003826342,0.00128407,0.0007134458,0.005628739],"category_scores_gemma":[0.0007814699,0.0001599252,0.0001635576,0.00129424,0.002472722,0.002059814,0.00206033,0.001414765,0.0007779255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01074517,"about_ca_system_score_gemma":0.005476415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6021101,"about_ca_topic_score_gemma":0.7605363,"domain_scores_codex":[0.9989364,0.000188665,0.00002875652,0.00009899418,0.0001452705,0.0006019882],"domain_scores_gemma":[0.9995492,0.00004271792,0.000107802,0.00002619957,0.0001239525,0.0001500544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001845699,0.00006244387,0.09105535,0.0001153596,0.00001528956,0.004000675,0.8062019,0.0001071202,0.003367578,0.03033832,0.006271022,0.0582804],"study_design_scores_gemma":[0.000004190718,0.00004456496,0.07521333,0.0001304984,0.0000182814,0.001443822,0.8417212,0.0001385715,0.0005208043,0.0008886469,0.07983791,0.00003821882],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497153,0.002729149,0.0002234311,0.00742115,0.0000856384,0.00001284003,0.0001516986,0.00002312081,0.03963777],"genre_scores_gemma":[0.9900796,0.0007897182,0.0001600716,0.0004041202,0.00001155924,0.000006242504,0.00005885572,0.00001546441,0.008474315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3978899,"threshold_uncertainty_score":0.8004662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218900981064177,"score_gpt":0.3421665299873433,"score_spread":0.3099775201767015,"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."}}