{"id":"W7062567243","doi":"","title":"Study of the affinities and differences in the lexical characteristics of French spoken in North America (Quebec, Acadia, Louisiana)","year":2018,"lang":"en","type":"article","venue":"Americanae (AECID Library)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ethnolinguistics; Dialectology; Affinities; Comparative linguistics","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":[0.0007073174,0.0002242662,0.0003060023,0.002031498,0.002468677,0.001814411,0.0005509552,0.0004056969,0.005865036],"category_scores_gemma":[0.002538101,0.0001210377,0.0002030034,0.002418569,0.001124426,0.0005614383,0.0006986987,0.0005734488,0.0006644387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005879781,"about_ca_system_score_gemma":0.004067976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8661361,"about_ca_topic_score_gemma":0.9280888,"domain_scores_codex":[0.9993925,0.0001813191,0.00004796445,0.0001299231,0.0001088078,0.0001394321],"domain_scores_gemma":[0.9967603,0.0009303004,0.0002958656,0.00007923315,0.001653274,0.0002809643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000402794,0.0001436331,0.8286607,0.0001819912,0.0001185718,0.0007592793,0.1062942,0.0001939547,0.01975647,0.001479073,0.001939585,0.04006969],"study_design_scores_gemma":[0.000007666637,0.00005329206,0.956984,0.00003870597,0.00002194684,0.0002658407,0.03853947,0.0002770952,0.0004445368,0.00005539961,0.00329209,0.00001999385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958444,0.0001786848,0.00009506472,0.0001422962,0.000006729033,0.00001134856,0.000358539,0.000004950816,0.003357965],"genre_scores_gemma":[0.9974301,0.000104761,0.0001411127,0.00007816959,0.000003818558,0.00001292128,0.000276133,0.000008250674,0.001944648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1338639,"threshold_uncertainty_score":0.2693044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345108354758747,"score_gpt":0.2112600714801715,"score_spread":0.197808987932584,"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."}}