{"id":"W7029826655","doi":"","title":"Lillooet: a language of Canada","year":2018,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural language; Constructed language; Language industry; On Language; Universal Networking Language; Language identification; Comprehension approach","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":[0.0002076794,0.0006271635,0.0003883001,0.002557789,0.006966325,0.004189059,0.0008646989,0.0006744941,0.1082622],"category_scores_gemma":[0.0007794496,0.0001744879,0.0001758026,0.007796787,0.001305531,0.001375393,0.0009326151,0.0009566334,0.00961712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.033332,"about_ca_system_score_gemma":0.05075973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923404,"about_ca_topic_score_gemma":0.9973125,"domain_scores_codex":[0.9996545,0.00002146275,0.00001267812,0.00004342228,0.0001543743,0.0001135882],"domain_scores_gemma":[0.9995431,0.00005229571,0.00001806768,0.00001169723,0.0002847104,0.00009019806],"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":[0.0001342287,0.00002231262,0.003116217,0.0005731939,0.000009694974,0.0006767796,0.01286209,0.0001685439,0.001322686,0.05759451,0.785116,0.1384037],"study_design_scores_gemma":[0.000003467932,0.00000299819,0.003837343,0.0001210987,0.000003074208,0.0001272036,0.003255231,0.0000450917,0.0001533862,0.0005699226,0.9918573,0.00002377712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02796076,0.02065681,0.002097485,0.01089659,0.00200715,0.0001908689,0.06496356,0.001178458,0.8700483],"genre_scores_gemma":[0.2091562,0.01275009,0.005414474,0.002932687,0.0002419966,0.0001425736,0.02436762,0.001123496,0.7438708],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1082622,"threshold_uncertainty_score":0.3621732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007191493749039791,"score_gpt":0.2544288888731533,"score_spread":0.2472373951241136,"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."}}