{"id":"W7070182414","doi":"","title":"Ojibwa: a language of Canada","year":2018,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002870598,0.000638602,0.0004282713,0.002831087,0.007954695,0.004559218,0.0008163887,0.000688115,0.1486633],"category_scores_gemma":[0.001350697,0.0002322424,0.0001968568,0.007933729,0.001514406,0.002120029,0.001260552,0.001380276,0.0190552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02094968,"about_ca_system_score_gemma":0.0513026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804808,"about_ca_topic_score_gemma":0.9928187,"domain_scores_codex":[0.9995537,0.0000225719,0.00001694304,0.00004406854,0.0002152188,0.0001475227],"domain_scores_gemma":[0.9990357,0.00008225808,0.00002680851,0.00003166569,0.0006356924,0.0001878428],"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":[0.00004413063,0.00001086925,0.0008820855,0.0002253241,0.000003522612,0.0001791842,0.003618511,0.00003913495,0.0004348707,0.02784549,0.9054191,0.06129782],"study_design_scores_gemma":[0.000002264348,0.000001379869,0.001671962,0.00007409322,0.000001689381,0.00005271813,0.001667183,0.00001646532,0.00008690474,0.0005074868,0.9959044,0.00001355861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01157308,0.01258487,0.001449566,0.01383458,0.00370986,0.0001633693,0.06163136,0.001398674,0.8936546],"genre_scores_gemma":[0.09279331,0.01146758,0.005485825,0.004723186,0.0004025028,0.0001437161,0.02721981,0.001705705,0.8560583],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1486633,"threshold_uncertainty_score":0.4973283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00177542866586241,"score_gpt":0.1975310687792073,"score_spread":0.1957556401133448,"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."}}