{"id":"W7071243747","doi":"","title":"Shuswap: 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","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008642602,0.00005709555,0.0001289823,0.00004282581,0.0001347037,0.000006603914,0.000233676,0.00003082836,0.005767042],"category_scores_gemma":[0.000372557,0.00005579595,0.00002566004,0.0003410887,0.0004073805,0.00009252667,0.00003828972,0.0000447007,0.00002290484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000302426,"about_ca_system_score_gemma":0.001383104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9806919,"about_ca_topic_score_gemma":0.5932198,"domain_scores_codex":[0.9992107,0.00009447373,0.0001415816,0.0001274428,0.0001984357,0.0002274274],"domain_scores_gemma":[0.999473,0.00009589875,0.0001042354,0.0001559031,0.00004325929,0.0001276405],"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":[0.00003226203,0.00006334714,0.159352,0.000007307531,0.00006397944,0.00007745763,0.02851311,0.00000137606,0.0004317026,0.2556253,0.5431057,0.01272645],"study_design_scores_gemma":[0.0003552047,0.0001593221,0.1906441,0.00001099711,0.0000195487,0.000001544797,0.01298295,0.00003526911,0.002290163,0.001019849,0.7921953,0.0002858137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5641658,0.0000572254,0.0001488632,0.00659627,0.0009265949,0.0001067672,0.00002487263,0.00008429359,0.4278893],"genre_scores_gemma":[0.9813668,0.00001100837,0.001454449,0.003220223,0.0005767338,0.000003070286,0.000005945058,0.000009373457,0.01335236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4172011,"threshold_uncertainty_score":0.9951418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007394008534957827,"score_gpt":0.2556952413007284,"score_spread":0.2483012327657706,"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."}}