{"id":"W3212427272","doi":"10.16995/glossa.5721","title":"The acquisition of adverbs in child L3 French in Canada","year":2021,"lang":"en","type":"article","venue":"Glossa a journal of general linguistics","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; The Scarborough Hospital; University of New Brunswick; University of Toronto","funders":"","keywords":"Romanian; Linguistics; Scrutiny; Competence (human resources); Adverb; Hierarchy; Context (archaeology); Linguistic competence; Psychology; Similarity (geometry); Sociology; History; Computer science; Political science; Artificial intelligence; Philosophy; Verb; Social psychology; Law","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":[0.0006009372,0.00005365983,0.0001423155,0.00005727321,0.0001287728,0.00002370682,0.0001747577,0.00003888609,0.00006897829],"category_scores_gemma":[0.004359521,0.00004466655,0.00004192146,0.0003157692,0.00005965113,0.00001503165,0.00001622871,0.0002032872,6.399206e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003651088,"about_ca_system_score_gemma":0.005798974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7452089,"about_ca_topic_score_gemma":0.9606724,"domain_scores_codex":[0.9987741,0.0001884404,0.0004651459,0.00005730814,0.0003322655,0.0001827481],"domain_scores_gemma":[0.9987678,0.0001704016,0.0002511148,0.00008356806,0.0006384908,0.00008862091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000269578,0.0009803546,0.4959351,0.0001570245,0.0001664794,0.001319673,0.1330811,0.01210668,0.0006440666,0.2595983,0.03964378,0.05609798],"study_design_scores_gemma":[0.001357774,0.00007248104,0.1914486,0.0003306919,0.0000308458,0.00003944783,0.01388901,0.000631995,0.001726333,0.006194117,0.7839957,0.000283041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953143,0.001736654,0.00000725694,0.002085942,0.002863092,0.00005125946,0.00001418032,0.000001441656,0.04009716],"genre_scores_gemma":[0.9964369,0.0005318312,0.0005035528,0.000325723,0.001726365,4.252846e-7,0.000001975245,0.000003452955,0.0004697753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7443519,"threshold_uncertainty_score":0.9998372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048264126810068,"score_gpt":0.3614598754145694,"score_spread":0.3409772341464687,"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."}}