{"id":"W7025256236","doi":"","title":"Tutchone, Northern: a language of Canada","year":2018,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural language; Constructed language; On Language; Language industry; Universal Networking Language; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003286598,0.00008586264,0.0001175178,0.00001690677,0.00004530071,0.000004589783,0.0001857728,0.00001934208,0.005753973],"category_scores_gemma":[0.00002012849,0.00007026829,0.00002725803,0.0003339008,0.0002367109,0.0002104642,0.00009670832,0.00004043321,0.00009264812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000611921,"about_ca_system_score_gemma":0.00008991388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9221587,"about_ca_topic_score_gemma":0.5770209,"domain_scores_codex":[0.9992646,0.00002614052,0.0001275847,0.0001683333,0.0002283996,0.0001849215],"domain_scores_gemma":[0.9995676,0.00003396217,0.00009343622,0.0002079653,0.000003228542,0.00009382208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001742113,0.0000306485,0.8923406,0.000004094873,0.00001086666,0.00001438476,0.0004445565,0.00001414424,0.01864638,0.00001745621,0.06619088,0.02226859],"study_design_scores_gemma":[0.0001544548,0.0001446305,0.9545456,0.000004612456,0.00000586413,0.00000130974,0.0001645686,0.000197786,0.03715116,0.00001521992,0.007481706,0.0001331436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822803,0.0000182979,0.00002242185,0.0005330085,0.000124683,0.00008540385,0.00001337794,0.00002647499,0.01689604],"genre_scores_gemma":[0.9969967,0.000004082387,0.0005956654,0.0008674552,0.0001341625,0.000003735969,0.00001187826,0.00001323158,0.001373101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3451378,"threshold_uncertainty_score":0.9951549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001569564028750492,"score_gpt":0.1630447067194103,"score_spread":0.1614751426906598,"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."}}