{"id":"W6977537564","doi":"10.6084/m9.figshare.7506935.v1","title":"English Interdental Fricative Production in Dutch Heritage Speakers Living in Canada","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heritage language; Production (economics); Interdental consonant; Speech community; Neuroscience of multilingualism; Reading (process); Cultural heritage","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":[0.0003604606,0.0006957412,0.0005404872,0.001636781,0.001856896,0.001252725,0.001190551,0.0004497118,0.005241168],"category_scores_gemma":[0.001288388,0.0002938899,0.0005397126,0.003849126,0.000469852,0.0003040858,0.00104458,0.0004775137,0.002168242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006586046,"about_ca_system_score_gemma":0.01052919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791266,"about_ca_topic_score_gemma":0.9909483,"domain_scores_codex":[0.9995918,0.0000233028,0.00002402738,0.0001113574,0.0001154684,0.0001340572],"domain_scores_gemma":[0.9989466,0.0001097536,0.0001039959,0.0001085921,0.0005680779,0.0001630899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001354713,0.000255831,0.6778769,0.00158592,0.0004852402,0.0009234448,0.006933592,0.001792639,0.006946991,0.001200002,0.2134495,0.08719513],"study_design_scores_gemma":[0.00007230334,0.00002090103,0.9343587,0.0001706076,0.00009511983,0.0001537649,0.002741227,0.0008163197,0.001050963,0.0001143409,0.06035013,0.00005553055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3378328,0.0006557183,0.0004851052,0.0001580142,0.00003417309,0.0001358252,0.6546043,0.0002110917,0.005882952],"genre_scores_gemma":[0.2667735,0.0005195773,0.001024619,0.00006340752,0.00001072734,0.0002628028,0.72463,0.00008936309,0.006625998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02087343,"threshold_uncertainty_score":0.04778534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690659892524466,"score_gpt":0.2843453111641944,"score_spread":0.2474387122389497,"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."}}