{"id":"W4225706463","doi":"10.1017/s1366728922000256","title":"How open science can benefit bilingualism research: A lesson in six tales","year":2022,"lang":"en","type":"article","venue":"Bilingualism Language and Cognition","topic":"Research Data Management Practices","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Neuroscience of multilingualism; Open science; Quality (philosophy); Code (set theory); Replication (statistics); Computer science; Sociology; Linguistics; Epistemology; Mathematics; Philosophy; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.009004081,0.0001582485,0.0001895737,0.001133939,0.001121125,0.007326931,0.004484226,0.00003672682,0.00002372303],"category_scores_gemma":[0.001986331,0.0001568834,0.00002776519,0.002843903,0.0003572564,0.01096114,0.00851884,0.0005804223,0.000003752522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001651823,"about_ca_system_score_gemma":0.0004013565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218831,"about_ca_topic_score_gemma":0.002377053,"domain_scores_codex":[0.9957361,0.0005916766,0.0002452331,0.001110184,0.001605893,0.000710932],"domain_scores_gemma":[0.9979614,0.0004848287,0.0001315363,0.0009926279,0.0002606219,0.0001689994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001425352,0.0007408129,0.0006696476,0.0001635663,0.00003706424,0.002714426,0.06308912,0.00004292364,0.03951944,0.6270176,0.0003002931,0.2655626],"study_design_scores_gemma":[0.01248556,0.003497305,0.01263528,0.0007258117,0.0001066751,0.001004986,0.4938236,0.02741475,0.08255902,0.212145,0.1493585,0.004243566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850469,0.0009516709,0.0004564428,0.008253742,0.0001490393,0.001038096,0.00006766848,0.00009075334,0.003945719],"genre_scores_gemma":[0.9953771,0.0002303022,0.001922817,0.0005987356,0.00007188888,0.0002466724,0.00008511079,0.00001490352,0.001452484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4307345,"threshold_uncertainty_score":0.9995001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1818092727627049,"score_gpt":0.4283667878510303,"score_spread":0.2465575150883254,"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."}}