{"id":"W2794006604","doi":"10.1080/15475441.2018.1427589","title":"The Genetic and Environmental Etiology of the Association between Vocabulary and Syntax in First Grade","year":2018,"lang":"en","type":"article","venue":"Language Learning and Development","topic":"Language Development and Disorders","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Canadian Language and Literacy Research Network; Fonds de Recherche du Québec-Société et Culture; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Syntax; Vocabulary; Association (psychology); Psychology; Population; Vocabulary development; Linguistics; Developmental psychology; Computer science; Natural language processing; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001140896,0.0007528992,0.0005825942,0.001630812,0.0006761118,0.0008592833,0.0004361487,0.0004735211,0.001515691],"category_scores_gemma":[0.006013101,0.0003955995,0.0006100537,0.0006871268,0.0006541103,0.0003496314,0.0008910495,0.0005403898,0.0001179012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005405968,"about_ca_system_score_gemma":0.0006674074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476585,"about_ca_topic_score_gemma":0.02220106,"domain_scores_codex":[0.9987636,0.0004176989,0.0001079198,0.0003335023,0.0002213895,0.0001560648],"domain_scores_gemma":[0.9971528,0.0009327552,0.001041087,0.000310838,0.0002655475,0.0002969847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002087582,0.0000596154,0.9920418,0.0000180933,0.0002455804,0.0005323008,0.0005777616,0.00009806785,0.002293507,0.0003535046,0.00004761406,0.003523364],"study_design_scores_gemma":[0.000008861161,0.0001166253,0.9969855,0.00001705755,0.0001421135,0.001366716,0.0002871903,0.0002665406,0.0004394591,0.000241595,0.0001177711,0.000010598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991813,0.0002235578,0.0002183411,0.0000251308,0.000004055244,0.000004022182,0.00006130186,0.000002849164,0.000279367],"genre_scores_gemma":[0.9993737,0.00008556414,0.0002988453,0.00000573757,0.000002494916,0.000003640273,0.00005787644,0.000002935672,0.0001692219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01476585,"threshold_uncertainty_score":0.02935982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995967553836961,"score_gpt":0.2349689912224439,"score_spread":0.2289730236686069,"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."}}