{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008310525,0.0004622375,0.0005175726,0.00143659,0.00261375,0.00215801,0.0007892802,0.0008738118,0.004609782],"category_scores_gemma":[0.003606434,0.0004476102,0.0003794178,0.001584784,0.002032859,0.0007156542,0.001320695,0.001182195,0.0008465896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0121822,"about_ca_system_score_gemma":0.01100809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9456529,"about_ca_topic_score_gemma":0.9638789,"domain_scores_codex":[0.9988837,0.0001086729,0.0000363686,0.0001892542,0.0003398953,0.0004422176],"domain_scores_gemma":[0.997156,0.0006247625,0.0005740874,0.0001211898,0.001144176,0.0003798045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009352851,0.0004034961,0.7580367,0.000273848,0.00005836129,0.005920331,0.1466067,0.0003358201,0.02379679,0.002458459,0.002604082,0.05857024],"study_design_scores_gemma":[0.00001089317,0.0002010118,0.9519588,0.00008780549,0.00002755234,0.001567143,0.03505708,0.0002309397,0.002563606,0.0001730199,0.008054385,0.00006770785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994583,0.0002675322,0.0000539736,0.0001307351,0.000002843597,0.00001089455,0.0003820653,0.00001403382,0.004554965],"genre_scores_gemma":[0.9958617,0.0003125659,0.000205906,0.00007732734,0.000001724359,0.00001524011,0.0003257336,0.00001275195,0.003187018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0543471,"threshold_uncertainty_score":0.1093343,"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."}}