{"id":"W2144494497","doi":"","title":"ON DEVELOPING A WRITING SYSTEM FOR MICHIF","year":2013,"lang":"en","type":"article","venue":"The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Schwa; Metis; Vowel; Linguistics; Phonetic transcription; Transcription (linguistics); Notation; Phonetics; The Internet; Computer science; French; Phonology; History; World Wide Web; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001739845,0.00007822786,0.000346772,0.0002618202,0.0005622275,0.00003123017,0.0004627035,0.00007639106,0.0001412381],"category_scores_gemma":[0.0004182523,0.00006305923,0.0002765984,0.0004383277,0.0001529406,0.00009547978,0.00003296193,0.0001201575,0.00001123207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403268,"about_ca_system_score_gemma":0.0002688653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055894,"about_ca_topic_score_gemma":0.008388478,"domain_scores_codex":[0.9987675,0.0003435249,0.000310391,0.00008721858,0.0003084289,0.0001829634],"domain_scores_gemma":[0.9975777,0.0008724837,0.0006976568,0.0001197083,0.0006595918,0.00007290037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.003041158,0.000302873,0.0164145,0.0001955484,0.01109641,0.00007762328,0.07490511,0.02026203,0.002296144,0.8598042,0.005782711,0.005821763],"study_design_scores_gemma":[0.03043343,0.002304666,0.1124584,0.001007774,0.03722128,0.0001614902,0.5712829,0.1102763,0.00007937435,0.06810748,0.0640644,0.002602482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.833886,0.00002269535,0.1565949,0.002746515,0.001242609,0.0002520648,0.000009968324,0.00001788607,0.005227443],"genre_scores_gemma":[0.9967849,0.00003473392,0.002013314,0.00005771736,0.0005513204,9.199327e-8,0.000003537941,0.000004237592,0.0005501838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7916967,"threshold_uncertainty_score":0.9960299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396107380714235,"score_gpt":0.2560149803933686,"score_spread":0.2420539065862262,"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."}}