{"id":"W3205750817","doi":"10.7557/5.5945","title":"Wikipetcia Atikamekw Nehiromowin: Wikipedia in Indigenous Languages","year":2021,"lang":"en","type":"article","venue":"Septentrio Conference Series","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Indigenous language; Upload; World Wide Web; Lingua franca; Population; Presentation (obstetrics); Library science; Sociology; Computer science; Linguistics","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":[0.0008900957,0.000275636,0.0002573181,0.002419989,0.006616042,0.006265572,0.0007139923,0.0004865522,0.01558686],"category_scores_gemma":[0.002159858,0.0001666933,0.0001514121,0.003628521,0.002121747,0.005039122,0.003320168,0.0006956215,0.002833541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004693367,"about_ca_system_score_gemma":0.01421201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.30415,"about_ca_topic_score_gemma":0.5835752,"domain_scores_codex":[0.9995622,0.00007760988,0.00002554574,0.00005860843,0.0001577424,0.00011834],"domain_scores_gemma":[0.9983228,0.0002117338,0.00009216154,0.0001189612,0.0006337666,0.0006206821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001359256,0.0001003072,0.00876517,0.001471765,0.00002589566,0.00101847,0.04166796,0.0004896527,0.00723706,0.1103157,0.3774093,0.4513627],"study_design_scores_gemma":[0.000004478846,0.000009034146,0.005161748,0.000213846,0.00001005671,0.0002838151,0.009449434,0.0001660917,0.0008723976,0.002535569,0.9812739,0.0000197741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1268365,0.03383724,0.03038922,0.0208766,0.00710392,0.0005573693,0.004908314,0.005769338,0.7697215],"genre_scores_gemma":[0.4859289,0.0227234,0.03334945,0.00207747,0.001008352,0.0003393632,0.005297155,0.002364608,0.4469112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.30415,"threshold_uncertainty_score":0.6047593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699074728530137,"score_gpt":0.318398028243027,"score_spread":0.3014072809577256,"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."}}