{"id":"W2899902453","doi":"","title":"Research Guides: First Nations Languages of British Columbia: Statistics & Government Information","year":2013,"lang":"en","type":"libguides","venue":"","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Political science; Statistics; Library science; Geography; Computer science; Linguistics; Mathematics","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":[0.001336525,0.001220743,0.0008979116,0.01546561,0.00393925,0.003707447,0.002184803,0.0008778647,0.1772834],"category_scores_gemma":[0.007483814,0.0009951915,0.0003341202,0.03504353,0.0006951963,0.001810061,0.001357496,0.001705156,0.05539693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0136848,"about_ca_system_score_gemma":0.05506378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9425182,"about_ca_topic_score_gemma":0.9708197,"domain_scores_codex":[0.9989277,0.0001121823,0.0001431689,0.0001359483,0.0004952485,0.0001857954],"domain_scores_gemma":[0.9900007,0.001019885,0.0004057237,0.0004583403,0.007516036,0.000599218],"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":[0.0000316768,0.00002457055,0.002406723,0.0003306879,0.000004892856,0.00003819137,0.000512482,0.0001040474,0.00007974901,0.001433337,0.9563096,0.03872421],"study_design_scores_gemma":[0.00002546136,0.00001074825,0.05002574,0.0007170764,0.00001970175,0.00005299129,0.002715753,0.0002623676,0.0004321966,0.001299477,0.944391,0.00004739099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004862526,0.002400829,0.0007547271,0.001393644,0.0003288253,0.0003906342,0.8249047,0.0008959294,0.1640682],"genre_scores_gemma":[0.01644253,0.004968917,0.004871435,0.0004741951,0.0001051434,0.001424853,0.5056784,0.00106234,0.4649723],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1772834,"threshold_uncertainty_score":0.5930721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03165709337322049,"score_gpt":0.3531280704682276,"score_spread":0.3214709770950072,"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."}}