{"id":"W7011119016","doi":"","title":"Linguistic Consequences of Language Contact and Restriction: The Case of French in Ontario, Canada, by Raymond Mougeon &amp; Edouard Beniak","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":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Language contact; On Language; Field (mathematics); Key (lock)","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":[0.001362765,0.0004968009,0.0006481798,0.001515427,0.02075792,0.006932284,0.001632654,0.002065918,0.004064639],"category_scores_gemma":[0.005392406,0.000509391,0.0004326403,0.004703758,0.007785559,0.001477881,0.002438221,0.001830553,0.0002829363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1056973,"about_ca_system_score_gemma":0.08704583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989762,"about_ca_topic_score_gemma":0.9995217,"domain_scores_codex":[0.9987409,0.0002866533,0.00004934148,0.0001445394,0.0002853106,0.0004934325],"domain_scores_gemma":[0.9976012,0.000785126,0.0002489748,0.00008247483,0.0009832935,0.0002989353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006138468,0.0001038934,0.08766136,0.0004342746,0.0001741196,0.009444832,0.6872861,0.002479121,0.003752494,0.09144156,0.04601061,0.07059778],"study_design_scores_gemma":[0.00006827535,0.000048094,0.3395994,0.000471199,0.000192364,0.001630027,0.4038929,0.001614429,0.001170307,0.006524147,0.2444966,0.0002923016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910989,0.01062389,0.000473812,0.02772348,0.0001046415,0.00004189976,0.0006185218,0.00003463219,0.06928024],"genre_scores_gemma":[0.9776865,0.002693958,0.0005848188,0.0008090735,0.00002668933,0.00001774999,0.0001200608,0.00003221111,0.01802887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1056973,"threshold_uncertainty_score":0.7668914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008852881575193493,"score_gpt":0.2316710112463259,"score_spread":0.2228181296711324,"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."}}